Beginning with NLP

Here in this repository Word Embeddings classification approach is shown for NEWS CATEGORY PREDICTION and accuracies for using different features as shown

https://www.twilio.com/blog/classify-texts-with-tensorflow-and-twilio-to-answer-loves-me-loves-me-not

Ghost Writer can complete a story given to it on its own and then answer the questions given to it.

Given the title of a fake news article A and the title of a coming news article B, program classifies B into agree, disagree, and unrelated.

implement a model to predict the country where the tweet comes from

Using NLTK Lib to summarise texts

Text analysis applied to tv show scripts from Gilmore Girls

The ipython notebook is working to build a model which will detect duplicate questions if two questions pair are given.

Using digital form of the actual scripts of the 'Star Trek' science fiction series to perform interesting NLP tasks and answering some questions on Topic Modelling, Character properties and the plot as a whole.

Changes in StockPrice Using News Sentiments

NLP based model to classify ham & spam

Predicting which tweets are about real disasters. Using Bag-of-Words, TF-IDF Vectors, Naive Bayes, Linear Discriminant Analysis, Truncated SVD, custom tokenizer, lemmatization, GridSearchCV.

Text-Clustering

Word2Vec C model by Tomas Mikolov from svn Google's repo.

Quora and Stack Exchange are knowledge-sharing platforms where people can ask questions in the hopes of attracting high-quality answers. Often, questions that people submit have previously been asked. Companies like Quora can improve user experience by identifying these duplicate entries. This would enable users to find questions that have alrea…

Applied Natural Language Feature Engineering and built a content based recommendation system using NLP Models (Bag of words and TF-IDF) in problem of recommending similar products on e-commerce websites via Amazon product advertising API.

The Movie-Review-Predictor uses a bag of words model to analyze and predict the sentiment of movie reviews.

A computer vision application that retrieves the most similar video frames to selected image/object/character