Sentiment analysis on the IMDB dataset using Bag of Words models (Unigram, Bigram, Trigram, Bigram with TF-IDF) and Sequence to Sequence models (one-hot vectors, word embeddings, pretrained embeddings like GloVe, and transformers with positional embeddings).

This repository highlights the LLMs reasoning capabilities of ✨ Mistral / LLaMA-3 / Phi-3 / Gemma / Flan-T5 / GPT-4o ✨ in Targeted Sentiment Analysis in Russian / Translated to English mass-media 📊

Projects I have worked during my Bachelor

The official code for CoT / ZSL reasoning framework, utilized in paper: "Large Language Models in Targeted Sentiment Analysis in Russian"

Datasets collection and preprocessings framework for NLP extreme multitask learning

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

FinTwit-Bot is a Discord bot designed to track and analyze financial markets by pulling data from platforms like Twitter, Reddit, and Binance. It features customizable tools for sentiment analysis, market trends, and portfolio tracking to help traders stay informed and make data-driven decisions.

Live Sentiment Analysis dashboard of NIFTY 500 universe of stocks using plotly and streamlit

Sentify aims to analyze sentiment in text from social media, news, and websites. Real-time analysis, granular classification, customizable settings.

A project for sentiment analysis of tweets using various NLP techniques and machine learning models.

Leveraging astrology, weather data, and AI sentiment analysis, this application advises whether you should stay home today. It uses your birthdate for astrological insights, weather API for current conditions, your feelings about the weather, and AI for sentiment analysis of your daily horoscope—a unique blend of data for your day-to-day decisions.

This repository contains the project files for performing sentiment analysis on Amazon review data

Simple model for sentiment analysis

Encyclopedic Hub for Sentiment Dictionaries

DailyNewsDriftCanada is a tool designed to analyze the sentiment of news headlines from various Canadian media outlets over time.

Gets the current sentiment of the crude oil market using transformers

This collection of neural networks, each designed for a different job. Whether it's recognizing images, understanding language, or tackling other cool tasks, I've got it covered. Dive in and see these neural networks in action, making complicated stuff look easy! 🚀🤖

Contains Deep Learning Content and Algorithm. ANN_CNN_RNN(LSTM-GRU)_AUTOENCODER

Comparison of AWS Comprehend and SpaCy on a subset of the Amazon Handmade reviews for sentiment analysis and NER