ML model for spam detection using Naive Bayes & TF-IDF. Achieved 0.98 accuracy. Utilized Scikit-learn, Numpy, nltk. Implements NLP concepts. Explore precise spam classification effortlessly. #MachineLearning #SpamDetection 🚀✉️📱

You will get other sentences for provided inputs

Project showing the sentiment analysis of text data using NLP and Dash.

Movie Recommendation System is a web application designed to provide personalized movie recommendations to users based on their input movie titles.

Data Augmentation for Improved Generalizability of Natural Language Processing Models

Fake reviews detection using SGD Classifier , with an flexible user interface

Fake news detection

This is a basic implementation of a resume screening model using machine learning techniques

Build a content-based recommender system that suggests items to users based on their preferences (favorite products)

Information Retrieval is the process of accessing relevant information from data sources using techniques like indexing and ranking. It is crucial for search engines, databases, and digital libraries for efficient information access.

Practice how to perform text classification using a machine learning classification model and the results of tf-idf as a feature vector

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

SMS Spam prediction using classification algorithms.

Retrieve themes from a user inputted query and semantically connect them to lyrical data from songs.

Recipe Genie is a recipe recommendation system that recommends recipes to users based on the ingredients they have at home.

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

A web application that detects aggression and misogyny in text using BERT augmentation, sentiment analysis, XGBoost, TF-IDF vectorization, LIME explainability. [Paper accepted at ICON 2021]