Tunable full text search engine in JavaScript that: (1) works natively on web apps like Express.js; (2) easy to customize (via BM25) to specific types of documents (e.g. tweets, scientifc journals); (3) is deployable on either the client-side or the server side.

This repository contains the code for basic kind of E-commerce recommendation engine. By using the concept of TF-IDF and cosine similarity, we have built this recommendation engine.

Extract textual information from Amazon products reviews and draw correlations through regression and fluctuation analysis.

Large Scale benchmarking of state of the art text vectorizers

NLP based Classification Model that predicts a person's personality type as one of the 16 Myers Briggs personality types. Extremely challenging project dealing with correlation between human psychology and casual writing styles and handling heavily imbalanced classes. Check the app here - https://mb-predictor-motetuzs5q-uc.a.run.app/

Extractive summarizationof medical transcriptions

spam classifier with a dataset of 5000 mail

Compilation of Information Retrieval codes.

Spam Detection – Cluster SMS messages to “Spam” and “Ham” (Kaggle Challenge)

Application of Machine Learning Techniques for Text Classification and Topic Modelling on CrisisLexT26 dataset.

In this project I am using the tf - idf algorithm and cosine similarity to find the similarity of two strings.

Text Classification for Sentiment Analysis using Female Daily's Reviews Dataset

Text Classsification of Amazon Reviews

Created various Information Retrival Algorithms from scratch in python

Fact Extraction and Verification

Built MultinomialNB, Logistic Regression, Random Forests and LSTM with the TF-IDF vectorizer for fake and real news classification. Also performed K-means unsupervised algorithm with PCA and t-SNE.

This is my Machine Learning model created with PassiveAggressiveClassifier to detect a news as Real or Fake depending on it's contents.

Using NLP and text mining techniques(TF-IDF) to analyse and rate Yelp review data

Grocery Dataset Classification with Deep Learning in Keras and Tensorflow.

Classifying Partisanship in U.S. Senator's Twitter and Facebook posts

Build Multinomial Naive Bayes Model based on the TD-IDF Embedding for topic modeling, trained on the 20NewsGroups data

A software for extracting key facts from a redundant paragraph to provide the users with the necessary information in lesser span of time.

Train data collection interface for TTW backend.

Basics of NLP, text pre-processing. Sentiment classification on imdb movie reviews dataset.