Hashformers is a framework for hashtag segmentation with Transformers and Large Language Models (LLMs).

implementing an end-to-end tweets ETL/Analysis pipeline.

This repo contains Big Data Project, its about "Real Time Twitter Sentiment Analysis via Kafka, Spark Streaming, MongoDB and Django Dashboard".

Exploring Jaccard and Cosine similarities performances then visualising their output using k means and kmeans with pca. Additional input on time series analysis, web scrapping and twitter scrapping.

Dataset: Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society

Notebook used to explore and classify 500,000 tweets about Elon Musk in an unsupervised manner.

Text Classification Using Siamese Neural Networks - Contrastive Loss, Triplet Loss. This architecture works well when the training data is less.

This project is submitted as python implementation in the contest of Analytics Vidhya called "Identify the Sentiments". I enjoyed the joining of this competition and all its process. This submited solution got the rank 118 in the public leaderboard.

Tweets Sentiment Analysis Project to classify the the polarity of tweets either as ‘Positive’, ‘Negative’, and ‘Neutral' with high accuracy

Submission for CL4HEALTH @ LREC-COLING 2024

Python Notebooks for Collecting Tweets and Analyze their text using various text classification and clustering techniques

Twish is a web application that allows you to host tweets classifiers (Machine Learning-based, rule-based, whatever-based). Once you have set up the app, your users can enter a search term and Twish will collect tweets based on it and classify them using the classifiers you set up.

Sentiment analysis of tweets using machine learning

Kaggle NLP warm up.

Sentiment Analysis On Financial Tweets

Image recognition model made to recognize financial charts from social media sources.

Corona Tweets Sentiment Classification with BiLSTM