This repository houses a Streamlit web application for fake news detection. The app allows users to input a news article and predicts whether it is likely fake or real based on its content. It provides options to select different vectorizers (TF-IDF or Bag of Words) and classifiers (Linear SVM or Naive Bayes) to customize the prediction model.

NLP Projects for Data science

Our team sought to perform sentiment analysis on Twitter tweets in anticipation for Hideo Kojima's video game release, Death Stranding, in 2019. We sourced the Tweets from two libraries, preprocessed them, stored them using MongoDB and then performed sentiment analysis.

I trained a natural language processing (NLP) model to classify restaurant reviews as either positive or negative sentiment.

SpamGuard is an intelligent SMS filtering system designed to detect and filter spam messages using machine learning techniques.

Analyzing tweets from Twitter and classifying them into trolls using Natural Language Processing

Book Recommendation System (Content Based) built on Bag Of Words algorithm and integrated into a web app using streamlit

Text Encoding and Classification using different types of Encoders

A spam classifier is a software or machine learning model that categorizes incoming messages or content as either "spam" (unwanted or irrelevant) or "ham" (legitimate or relevant), using automated techniques.

Movie Recommendation using Content Filtering (Cosine Similarity) with Flask web application

Review sentiment based on drug user reviews text/ dataset, using a supervised binary text classifier, which will classify user reviews as positive or negative

Basic Language Models , Bag of Words, Ngram Models Etc NLP modelling and associated tasks

Repository for the lectures taught in the course named "Natural Language Processing" at the University of Guilan, Department of Computer Engineering.

In this data cleaning has been done with the help of nltk library and other library which include wordnetlimmitizer , ,and steaming of word has been donw by portersteammer ,

Oasis Infobyte Internship Data Science task-4

This repository has the implementation of traditional NLP techniques like Bag Of Words (BoW) and TF-IDF from scratch and then comparing the results with the scikit learn's respective libraries/modules vectorizers.

Bag of Words on Text to Detect Stress

A chatbot which can recommend itineraries, flights and hotels

DNA CLASSIFICATION

Config files for my GitHub profile.