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1. Learning-To-Rank Learning-To-Rank Public

   This project is developed for the kaggle competition (in 2020), the task was to implement Learning to Rank on the given dataset.

   Jupyter Notebook 1

2. Link-Analysis- Link-Analysis- Public

   This computes the importance of nodes or user in a email community by calculating its Pagerank, hub & authority scores for a dataset of email network.

   Jupyter Notebook 1

3. TwitterSentimentAnalysis TwitterSentimentAnalysis Public

   Lexicon based sentiment analysis of twitter using Textblob and Numpy

   Python 1

4. Hidden-Markov-Model Hidden-Markov-Model Public

   HMM from Scratch using Viterbi Algorithm. It works on the famous BeRP Corpus. It annotates POS tags to the word as per the tags defined in TreeBank tagger.

   Python

5. Naive-Bayes-Classifier Naive-Bayes-Classifier Public

   Naive Bayes classifier from scratch on the 20 newsgroup dataset. It has a very high accuracy, and performs Laplacian smoothing for OOV words.

   Python

6. Tweets-Automatic-Summarization Tweets-Automatic-Summarization Public

   Automatic summarization of tweets is performed using Techniques of NLP.

   Jupyter Notebook