(meaning that you can be diagnosed with the disease even though you don’t have it). This recalls the case of…
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A non technical intro to NLP
A non technical intro to NLPAnalyzing inaugural speeches of presidentsDivyansh RaiBlockedUnblockFollowFollowingJan 6While neural networks and CNNs have made giant leaps in…
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Every so often, we see stories in the news about facial recognition technologies failing on minority populations, or Twitter bots…
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Continue ReadingWord Embeddings in NLP and its Applications
Word Embeddings in NLP and its ApplicationsShashank GuptaBlockedUnblockFollowFollowingJan 2Word embeddings are basically a form of word representation that bridges the…
Continue ReadingUnfolding Naïve Bayes from Scratch: Part 1
This problem happened because the product (p of a test word “j” in class c) was zero for both the…
Continue ReadingSupercharging word vectors
Using the fastText method for creating word vectors, we will also be able to create a model which can handle…
Continue ReadingThe General Ideas of Word Embeddings
The building stones are therefore characters instead of words.The word embeddings outputted by FastText look very similar to the ones…
Continue ReadingWord2Vec For Phrases — Learning Embeddings For More Than One Word
The training phase we iterate through the tokens in the corpus (the target word) and look at a window of…
Continue ReadingAn introduction to Bag of Words and how to code it in Python for NLP
It creates a vocabulary of all the unique words occurring in all the documents in the training set.In simple terms,…
Continue ReadingAnalysis of Twitter Data Using R — Part 2 : Word Cloud
Analysis of Twitter Data Using R — Part 2 : Word CloudRohit NairBlockedUnblockFollowFollowingMay 15, 2016In the last article we learnt how to get authentication…
Continue ReadingMaster Python through building real-world applications (Part 1)
Get close matches function takes the word the user has entered as the first parameter and our whole data set…
Continue ReadingWord Representation in Natural Language Processing Part I
each unique word in the vocabulary is assigned an ID.As result, a simple lookup dictionary will be constructed as shown…
Continue ReadingArt of Vector Representation of Words
Art of Vector Representation of WordsASHISH RANABlockedUnblockFollowFollowingDec 5Expressing power of notations used to represent a vocabulary of a language has been…
Continue ReadingSyncing your Jupyter Notebook Charts to Microsoft Word Reports
It involves the following steps:Saving the chart images from Jupyter Notebook to your desktop in code.Preparing your Word Document report,…
Continue ReadingFix your text thought attention before NLP tasks
proposed a attention mechanism for correcting word usage and spelling.After reading this post, you will understand:Nested Attention Neural Hybrid Model…
Continue ReadingBuilding a Spam Filter from Scratch Using Machine Learning
Sometimes, the Stemmer actually strips offadditional characters from the end, so “include”, “includes”, “included”,and “including” are all replaced with “includ”.Removal…
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