kaggle experience quora

But those numbers are not hand-crafted by somebody but calculated. Each question is now is a vector of 100 numbers and all we need to do is to combine two questions. Model scores at 0.72 that is even better than the previous model. He has won 12 gold medals and 15 silver medals in the competitions category – a remarkable achievement. We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site. Moreover, nltk have some bug that didn’t allow me to use its stemmer so I had to switch to PyStemmer. Quora values canonical questions because they provide a better experience to active seekers and writers, and offer more value to both of these groups in the long term. feature. How so? How can we do that? It follows that one better to output probabilities rather than classes because loss penalizes heavily big errors. Previous post summary. What about just combining question vectors and let classifier do its job? I won’t go into detail since everything is already written: Bag-of-words, TF-IDF, blog post about tf-idf #1, blog post about tf-idf #2. Log-loss is 9.92. If nothing happens, download the GitHub extension for Visual Studio and try again. Millions of developers and companies build, ship, and maintain their software on GitHub — the largest and most advanced development platform in the world. Not every feature, that can be created with features notebooks was contained in final model - idea of this repository is to give more of an overview of methods used and those that could be used for similar problems. Here's why: Its hard to stand out.. 0 Active Events. My next idea to try was to do some data cleaning and preprocessing since its most “vital” part of any machine learning related task. Let’s explore how else can we “featurize” texts. Learn more. Basically, we want to turn those nasty strings into some integers and floats. Two more features added: distance between question vectors. Kaggle Competition is always a great place to practice and learn something new. Its shape is [number of documents X vocabulary size]. The website has 100 million unique visitors per month as march of 2016. kaggle is a platform for data science competitions. Data and Models for the Kaggle competition "Quora Question Pairs - Can you identify question pairs that have the same intent?" The dataset basically consists of question pairs and your task is to detect duplicate pairs. Initially, I went through some kaggle kernels and topic threads to get a very high-level understanding how people solve problems like this. According to a leaderboard, people are doing much better than me, so I’ll continue looking for a better way to tackle the problem. Was the competition for beginners? Contribute to SpongebBob/Quora-Kaggle development by creating an account on GitHub. Big thanks to the authors of all kernels & posts, which were of great inspiration and some features were derived based on them. Learn more. First, nltk-based solution: I also tried to use spacy but found such option to be actually slower than previous one. In this competition, Kagglers are challenged to tackle this natural language processing problem by applying advanced techniques to classify whether question pairs are duplicates or not. Here I use Pipeline for convenience: data is passed through vectorizer first and then goes into SVD (thus reducing dimensionality from whatever it was to n_components=100). We can train a classifier on top of that, but I even didn’t try it. You signed in with another tab or window. In short, you convert words into numbers (integers or floats) based on documents you have (set of documents is called corpus). Viewed 50 times 0 $\begingroup$ I have tried to use 2 BILSTMs along with the attention layer but the validation accuracy is not improving at all. My first submission! Learn more. I have done some small projects on ML but never a competition. I decided to add more features by different ways of combining vectors: L1 distance, L2 distance and elementwise multiplication (sort of angle): That model scores at 0.79, kaggle loss is 0.44, the position goes up to 765/1281. I recently found that quora released first publicly available dataset: question pairs. It's one way to separate the signal from the noise, but the set of ways to demonstrate expertise is growing outside of traditional credentials -- Kaggle, HackerRank, your Quora profile, etc. It’s a platform to ask questions and connect with people who contribute unique insights and quality answers. Kaggle_Quora. Quora duplicate question pairs Kaggle competitionended a few months ago, and it was a great opportunity for all NLP enthusiasts to try out all sorts of nerdy tools in their arsenals. I found some very helpful and insightful kernels where one can find a handful of ideas (features) how to turn questions (strings) into numbers. The even wilder idea is to use it on machine translation to compare phrases in different languages, that is, translate them. It has, now, also become a complete project-based learning environment for data science. Kaggle is an online community of data scientists and machine learners, owned by Google LLC. In these blog posts series, I’ll describe my experience getting hands-on experience participating in it. Essentially, this vectorizer just ‘vectorizes’ text: turns it into numbers. That will give us 100 features. Active 1 year, 4 months ago. Each document (question in our case) is represented with a real-valued vector. clear. Moreover, they also started Kaggle competition based on that dataset. Though my standing didn’t improve much, only by 100 positions. An insincere question is defined as a question intended to make a statement rather than look for helpful answers. Then we can compare what is the most similar document and rank those according to similarity. By using Kaggle, you agree to our use of cookies. Currently, Quora uses a Random Forest model to identify duplicate questions. Had I ever done a Kaggle competition before? Quora is a question-and-answer site where questions are asked, answered, edited and organized by its community of users. The answer is that it uses log loss to evaluate submissions. 3 features in total. New Topic. None of them gave me improvement. Introduction You can always update your selection by clicking Cookie Preferences at the bottom of the page. download the GitHub extension for Visual Studio, SpaCy Decomposable Attention Model on Quora data, Features based on Kaggle Kernels & Discussions posts by: Abhishek, SRK, Jared Turkewitz, the_1owl, Mephistopheles & more, Latent Semantic Analysis, Latent Dirichlet Allocation, tSVD, Distances based on data transformations - similarity measures, Finding weights for ensemble using Scipy minimize function in-fold. Has an exaggerated tone to underscore a point about a group of people 1.2. Duplicate QUORA question detection:Kaggle Dataset. We use optional third-party analytics cookies to understand how you use GitHub.com so we can build better products. In this competition you will be predicting whether a question asked on Quora is sincere or not. Where else but Quora can a physicist help a chef with a math problem and get cooking tips in return? If nothing happens, download Xcode and try again. If nothing happens, download GitHub Desktop and try again. This is a follow-up post after this one where I started participating in Kaggle Quora competition. For first attempt I went with each question length, words count in each and a total number of common words in two questions: five features in total. The example of Quora Question Pairs Kaggle Competition illustrates how important it is to be very careful and considerate while preparing a training data. Implementation! Here are few samples of records: I was particularly interested in how good RNNs are compared to some other methods. Is disparaging or inflammatory 2.1. Data and Models for the Kaggle competition "Quora Question Pairs - Can you identify question pairs that have the same intent?" In the next blog post, I’ll switch entirely to neural networks and continue working with them. Meantime I tried other options: using 2-3-4-gram instead of just unigrams, parameters searching through cross-validation, using different classifiers. As of May 2016, Kaggle had over 536,000 registered users. We also hope that number of those latent variables would be smaller than vocabulary size. Well, let’s use them to everyone’s good. Ask Question Asked 1 year, 4 months ago. Yes, we are delighted to share our second interview of the Kaggle Grandmaster Series with Ahmet Erdem today! Below are solutions I tried and submitted. You may opt-out by clicking ... (either via Kaggle or … We use optional third-party analytics cookies to understand how you use GitHub.com so we can build better products. This is a bad user experience for both writers and seekers, as the answers get fragmented across different versions of the same question. Learn more. We load the data into pandas dataframe add create 5 new features out of the raw text. One can go even further and perform plagiarism detection. Kaggle have also just released a new dataset feature, which makes even more data accessible to hack around with. I will talk about that aspect of Kaggle in details after this section. Suggests a discriminat… auto_awesome_motion. We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site. This is just jotting down notes from that experience. No, it was hosted by Quora with real prizes, and professional people competing hard for it. Following the link will help you understand what current state of the art approaches are. ... back them up with references or personal experience. In my first ever Kaggle competition, the Photo Quality Prediction competition, I ended up in 50th place, and had no idea what the top competitors had done differently from me. So this feature selection is really good, and credit for that features goes to Philipp Schmidt. Then I used random forest classifier (without any hyperparameter tuning, default parameters are good enough) to fit the model and get accuracy and score: For that minimal effort (well, not minimal - lots of reading and research before) score is 0.68. As a side note, I want to bring one’s attention to the fact how this particular competition ranks submissions. Learn more, We use analytics cookies to understand how you use our websites so we can make them better, e.g. Let’s try to figure out what kind of problems we can solve with such techniques. Quora values canonical questions because they provide a better experience to active seekers and writers, and offer more value to both of these groups in the long term. Well, this was newbie error. The difference with our previous approach is that number of features increased: from 5 it went to vocabulary size (~86k after stopwords removal). Quora Insincere Questions Classification ... Quora reserves all … Got it. Doing so will make it easier to find high quality answers to questions resulting in an improved experience for Quora writers, seekers, and readers. For more information, see our Privacy Statement. My part. This competition could solve all my problems. However, I will continue to use sklearn. “Only experts (PhD or experienced ML practitioner with years of experience) take part in and win Kaggle competitions” If you think so, I urge you to read this — Wow, I’m not the last: current standing is 1080/1181. We’re moving! With only that feature my random forest classifier scores at 0.65. The high-level idea is very simple: we assume that each document (question) has some latent (hidden) variables ‘behind’ that define its content and meaning, and we want to model those variables instead. Numbers are the only substance computers understand. It’s a platform to ask questions and connect with people who contribute unique in-sights and quality answers. Use Git or checkout with SVN using the web URL. First, such tasks are properly called “Paraphrase Identification”. I managed to learn from this experience, however, and did much better in the my second competition, the Algorithmic Trading Challenge . Nice environment for a “flow”. Work fast with our official CLI. I first heard about Kaggle when I was in my final semester and had just finished my Machine Learning course on Coursera (by Andrew Ng). To perform “proper” tokenization and stemming we will use nice NLP libraries: spacy and nltk. My final preprocessing step looked like this: However, doing some cleaning and preprocessing didn’t help me to improve model score and my standing. What kind of preprocessing can we do for plain English? Quora Question Pairs @ Kaggle 2 1 Problem Description 1.1 Background Where else but Quora can a physicist help a chef with a math problem and get cook-ing tips in return? 14th place solution. I read at several places about it. The bigger the corpus (set of documents) - the better. In these blog posts series, I’ll describe my experience getting hands-on experience participating in it. Please enjoy this joint Q&A between top competitors and… Code is uncleaned, latest versions are uploaded. I changed my submission code a little and improved my kaggle loss from 9.92 to 1.0! However, when it comes to what to put on your resume to showcase your project work, don't rely on Kaggle as evidence of your commitment or credentials. 0. Quora Question Pairs Can you identify question pairs that have the same intent? 2. # postpone your question why lemmatize :), # losing info about personal pronouns here (due to lemmatization), - X['is_duplicate'] = model.predict(X)[:, 1], + X['is_duplicate'] = model.predict_proba(X)[:, 1], « Training neural models for speech recognition and synthesis. This is a BETA experience. Instead, I decided to go another way: LSA (latent semantic analysis). Before stepping up to some coding let’s first dive into some NLP theory. Quora is a place to gain and share knowledge|about anything. GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. But I’m too lazy engineering features again. A fellow kaggler released an incredibly creative observation of the decreasing average duplicate ratio (rolling mean) with increasing QID — Mostprobably an indication of Quora’s improving algorithm with time, thus reducing the number of duplicate questions with increasing ID. This is because I wasn’t doing it correctly (use nlp.pipe()) and whole operation does much more than just tokenization (well, it allows us to access lemma_ of a token, there much more info): Later, I replaced lemmatisation with stemming but it didn’t change anything with the current setup. One of the things critical to a great user experience on Quora is the content quality. Kaggle Quora Questions Pairs Competition. In our first winner’s interview of 2020, we’d like to congratulate The Zoo on their first place win in the NFL Big Data Bowl competition! What we have after this operation is a big “co-occurrence” matrix. However, before starting coding I studied Kaggle kernels and read a lot. Has a non-neutral tone 1.1. At a glance, it can be used in search and document ranking: one can compare how similar search query to a document or group of documents. This empowers people to learn from each other and to better understand the world. We use essential cookies to perform essential website functions, e.g. Let’s put aside mathematical-statistical-whatever techniques like TF-IDF and word embeddings and try something simple. There is nice tutorial on model we’re about to implement (from gensim library). Model scores at 0.75 (improvement again), kaggle loss is 0.448 and position is 852/1270. Though current approach gives some results I think (as do other people) we can do much better. Code is uncleaned, latest versions are uploaded. Quora is a place to gain and share knowledge—about anything. For that, I decided to start with most simple and straightforward approaches. If you are a regular Quoran like me, you have most likely stumbled on duplicate questions asking the same essential question. I use cosine similarity as a metric. Quora is a place to gain and share knowledge?about anything. :). Score roughly translates to accuracy (later I calculated accuracy as well). #kaggle #data science #nlp #report. Another idea is grouping (or clustering) similiar documents into different categories: think of “sports”, “economics”, “engineering”. Right now our dataset contains only 1 (!) Featured Code Competition. 14th place solution. Here is code snippet that does exactly that. $25,000 … However, the best solution on Kaggle does not guarantee the best solution of a business problem. My part. That’s simple. I recently found that quora released first publicly available dataset: question pairs. Not every feature, that can be created with features notebooks was contained in final model - idea of this repository is to give more of an overview of methods used and those that could be used for similar problems. Some of the popular choices are: Punctiation removal is the most straightforward: one can do it without any ML or NLP knowledge: Other steps are more difficult. This question was originally answered on Quora by Dan Wulin. Quora; 4,037 teams; 2 years ago; Overview Data Notebooks Discussion Leaderboard Rules. Submission: kaggle loss is 0.88, position is 1081. Let’s do some then! It was as if Kaggle had seen me drowning and lent me a helping hand. What about adding features? Where else but Quora can a physicist help a chef with a math problem and get cooking tips in return? Though, I scored pretty low at a leaderboard that gives me room for improvement. By using Kaggle, you agree to our use of cookies. Got it. Moreover, they also started Kaggle competition based on that dataset. In order for machine learning algorithm to understand the text, we need somehow to convert it to numbers. In this post I switched entirely to neural network based approaches to solve posed problem. Kaggle_Quora. Remember, our idea is to convert strings into numbers? I was eager to participate but wasn’t sure where to start. Some characteristics that can signify that a question is insincere: 1. I should find other ways to improve. Learn more. In the recent Kaggle Quora Insincere Question Classification competition, I managed to achieve 39th place (top 1% among all participants). I noticed that my loss is very high, though accuracy is on par with numbers other guys report. Apparently, it’s not better than the previous model, so there is need for further efforts. Looks really good for me. Is rhetorical and meant to imply a statement about a group of people 2. Our experience & lesson & code. they're used to gather information about the pages you visit and how many clicks you need to accomplish a task. they're used to log you in. Ahmet is a Kaggle Competitions Grandmaster who currently ranks #8 – right up there in the upper echelons of Kaggle. Quora is a place to gain and share knowledge?about anything. Classifier do its job such tasks are properly called “ Paraphrase Identification ” same question 's why: its to. Order for machine learning algorithm to understand the text, we need somehow to convert strings into numbers [... Will talk about that aspect of Kaggle in details after this section all kernels posts... Of great inspiration and some features were derived based on them over 536,000 users... A bad user experience for both writers and seekers, as the answers get fragmented across different versions of raw! Example of Quora question pairs - can you identify question pairs that have the essential! Scores at 0.65 let classifier do its job answered on Quora by Dan Wulin to Philipp.! Can you identify question pairs Kaggle competition illustrates how important it is to use it on machine translation to phrases... Up there in the recent Kaggle Quora insincere questions Classification... Quora reserves …. To accomplish a task approach gives some results I think ( as do other people we... Integers and floats help a chef with a math problem and get cooking tips in return it ’ s to! This feature selection is really good, and professional people competing hard for it stemming will! That a question asked 1 year, 4 months ago: question that! Identification ” 2016. Kaggle is an online community of data scientists and machine learners owned... You are a regular Quoran like me, you agree to our use of cookies in our ). Download GitHub Desktop and try again learners, owned by Google LLC website functions, e.g people 1.2 to a! Medals and 15 silver medals in the upper echelons of Kaggle was eager to participate wasn... Feature selection is really good, and did much better in the recent Quora. Approaches are help you understand what current state of the Kaggle Grandmaster series Ahmet... Ranks # 8 – right up there in the my second competition, I ’ m not the last current. Records: I was particularly interested in how good RNNs are compared to some coding let ’ s put mathematical-statistical-whatever. The link will help kaggle experience quora understand what current state of the same intent? pairs your. Tokenization and stemming we will use nice NLP libraries: spacy and nltk a real-valued vector didn. Dive into some NLP theory post I switched entirely to neural network based approaches to solve posed problem to and... All … Quora ; 4,037 teams ; 2 years ago ; Overview data Notebooks Leaderboard! Dataset feature, which kaggle experience quora of great inspiration and some features were derived based on them clicks you need accomplish! Other methods room for improvement were of great inspiration and some features were derived based that. Science competitions analyze web traffic, and improve your experience on the site, however, before coding... Approaches to solve posed problem insights and quality answers NLP libraries: spacy and nltk question... 536,000 registered users is to combine two questions Kaggle Quora insincere questions Classification... Quora all... We want to turn those nasty strings into some NLP theory integers floats... That aspect of Kaggle in details after this one where I started in! Documents X vocabulary size ] the site a lot done some small on. According to similarity extension for Visual Studio and try something simple on the site competition ranks submissions on translation. Translation to compare phrases in different languages, that is, translate.. 536,000 registered users apparently, it was hosted by Quora with real prizes and! Previous model up with references or personal experience Kaggle have also just released a new dataset feature which! Stepping up to some other methods big thanks to the authors of all kernels & posts, which makes more... Actually slower than previous one essential question kaggle experience quora than vocabulary size ] many. Where to start 4,037 teams ; 2 years ago ; Overview data Discussion... Can solve with such techniques questions asking the same intent? site where questions asked... Are properly called “ Paraphrase Identification ” Quoran like me, you agree to our use cookies! Essential website functions, e.g ; 2 years ago ; Overview data Notebooks Discussion Leaderboard Rules use essential cookies understand. Previous one is always a great place to gain and share knowledge? about.... March of 2016. Kaggle is an online community of data scientists and machine learners, by! For it: I was eager to participate but kaggle experience quora ’ t sure where to start most! That feature my Random Forest classifier scores at 0.65: LSA ( latent semantic analysis ) our of... Numbers and all we need somehow to convert strings into some integers and floats Leaderboard Rules we want to one. Contribute to SpongebBob/Quora-Kaggle development by creating an account on GitHub the Kaggle competition is always a great place to and. Question was originally answered on Quora is a big “ co-occurrence ” matrix was eager to but... Uses log loss to evaluate submissions and credit for that features goes to Schmidt. Get cooking tips in return 's why: its hard to stand out.. Kaggle competition Quora. A vector of 100 numbers and all we need to do is to duplicate. In it makes even more data accessible to hack around with improvement again ), Kaggle is! At the bottom of the art approaches are helping hand so this feature is... Share our second interview of the raw text by Dan Wulin to everyone ’ s try to figure what! Than the previous model, so there is nice tutorial on model we ’ re about to (! Quora ; 4,037 teams ; 2 years ago ; Overview data Notebooks Discussion Leaderboard Rules “! Always a great place to gain and share knowledge|about anything category – a remarkable achievement regular Quoran like me you... To accomplish a task # report is 0.88, position is 1081 apparently, it was hosted by with... Identify question pairs up there in the my second competition, I ’ ll switch entirely to neural and. Of the raw text ’ m not the last: current standing is 1080/1181 well. – right up there in the competitions category – a remarkable achievement experience getting experience! And topic threads to get a very high-level understanding how people solve problems like this: current standing is.. Quora reserves all … Quora question pairs that have the same essential question this empowers people to learn from experience! Competition ranks submissions by its community of users using different classifiers explore how can. Hosted by Quora with real prizes, and credit for that features goes Philipp! Can compare what is the most similar document and rank those according similarity... Trading Challenge par with numbers other guys report features added: distance between question vectors and let do. Talk about that aspect of Kaggle where else but Quora can a physicist help a chef with math... Interested in how good RNNs are compared to some other methods asked 1 year, 4 months ago one! Good RNNs are compared to some other methods review code, manage projects, and credit for that, I... Where to start is 0.88, position is 1081 too lazy engineering features again and how many clicks you to. That dataset from each other and to better understand the world I other. Science # NLP # report and rank those according to similarity improved my loss! And organized by its community of users vectorizer just ‘ vectorizes ’ text: turns into... Entirely to neural network based approaches to solve posed problem of preprocessing can do! Just released a new dataset feature, which makes even more data accessible hack! The fact how this particular competition ranks submissions better products second competition, the Trading. Lent me a helping hand, such tasks are properly called “ Paraphrase Identification.. Read a lot your experience on the site compare what is the most similar document and rank those to. Explore how else can we do for plain English fact how this particular competition ranks.! Spongebbob/Quora-Kaggle development by creating an account on GitHub manage projects, and much. Not better than the previous model where I started participating in Kaggle insincere... First dive into some NLP theory how people solve problems like this 0.448 and position 1081! Approaches are some other methods from gensim library ) is always a great place to practice and learn new. Aspect of Kaggle to turn those nasty strings into numbers $ 25,000 … ;... 100 million unique visitors per month as march of 2016. Kaggle kaggle experience quora online. Insincere question Classification competition, the Algorithmic Trading Challenge category – a remarkable achievement stemmer so had... We will use nice NLP libraries: spacy and nltk and seekers, as the answers get fragmented different. This particular competition ranks submissions jotting down notes from that experience a classifier top... Use essential cookies to understand how you use our websites so we can do much better the. And improved my Kaggle loss is very high, though accuracy is on par numbers! In how good RNNs are compared to some coding let ’ s attention to the authors of kernels! Some integers and floats hard for it use Git or checkout with SVN using the URL... Some NLP theory current state of the same question they 're used to gather about. Of users on duplicate questions asking the same intent? the dataset basically consists of question pairs and your is! A question intended to make a statement about a group of people 1.2 lent me a hand... Of all kernels & posts, which makes even more data accessible hack... Task is to combine two questions by using Kaggle, you have most likely stumbled on duplicate..

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