# 🔍 Semantic Article RecommenderThis project offers a simple way to find articles that are similar in meaning. It uses advanced techniques like Hugging Face embeddings and FAISS for efficient searching. 🛠️

This repository contains various models for text summarization tasks. Each model has a separate directory containing the implementation code, pretrained weights, and a Jupyter notebook for testing the model on sample input texts. Feel free to use these models for your own text summarization tasks or to experiment with them further.

A unsupervised NLP pipeline that summarizes and performs Sentiment Analysis on given corpus

Information retrieval system implementing multiple retrieval models with an interactive Streamlit interface. This project provides text search capabilities, performance metrics, and document analysis tools.

ICCV23 "Householder Projector for Unsupervised Latent Semantics Discovery"

Proposal: Pioneering Structured & Consistent LLM Generation via Deep Knowledge Graph Integration

Search Engine based on Cranfield dataset

Customer Segmentation of E commerce purchase database

This project aims at predicting the flair or category of Reddit posts from r/india subreddit, using NLP and evaluation of multiple machine learning models. The best model was saved to predict flair when the user enters URL of a post.

This repository contains the MSc thesis project titled "A Generic Multitask Summarizer for Amharic Text Documents". The project addresses the challenges of information overload and automatic text analysis by providing a versatile and parameterizable framework for extractive text summarization.

Concept Locator is to search for the concept in source code. The input is a query representining a concept and output is the ranked list of code locations based on similarity of the concept and the code portion. The implementation is based on the works of Marcus et. al titled "An information retrieval approach to concept location in source code"…

[NeurIPS'24 Poster] Official Repo for Paper "Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models"

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

Study and application of the Latent Semantic Analysis (LSA) technique in a dataset containing Australian news headlines.

Assessing the impact of different pre-processing techniques for classifying the sentiment of movie reviews

This repository explores how Rappler articles shape presidential policies by analyzing dominant themes related to President Bongbong Marcos' first year in office using Latent Semantic Analysis (LSA). The study provides insights for policy-making, strategic communications, and public engagement.

Wolfram Language (aka Mathematica) paclet with a software monad for Latent Semantic Analysis.

Repository for the project of Information Retrieval

Implementation of various Extractive Text Summarization algorithms.