This is my final year project "customer reviews classification and analysis system using data mining and nlp". It analyzes and then classifies the customer reviews on the basis of their fakeness, sentiments, contexts and topics discussed. The reviews are taken from various e-commerce platforms like daraz and amazon.

This repository hosts a project dedicated to identifying hate speech using audio and sentiment analysis. It utilizes the SpeechRecognition and PyAudio libraries for processing audio and incorporates a complex machine learning model to analyze sentiments.

NLP Sentiment Classification Project

😎 Awesome lists about Speech Emotion Recognition

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.

JGLUE: Japanese General Language Understanding Evaluation for huggingface datasets

Sentiment Classification with Natural Language Processing on Recurrent Neural Networks

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

Sentiment Classification with Bagging and SVM

EduSenti: Education Review Sentiment in Albanian

Transformers 库快速入门教程

The Sentiment Analysis and Topic Modelling of Tokocrypto Application Code Program

Tampilan Awal Desain Sentimen dan Topik Modeling TA

Handling Bahasa Rojak (Malaysian Code Mixing Language) OOV and performing Sentiment Analysis using downstreamed XLM-R

The project classifies 50,000 IMDB movie reviews into positive or negative sentiments using machine learning techniques

This API provides a powerful tool for analyzing the sentiment of text data. It helps you understand the overall sentiment (positive, negative, or neutral) and detailed sentiment breakdowns (joy, sadness, anger, etc.) within your text.

Flask app exposing a REST endpoint to determine sentiments of text inputs.

Personal project 3: Data pipeline for NLP sentiment analysis

Sentiment analysis of Apple Vision Pro tweets using multiple models

Dockerized nltk model which spits out sentiment score given a sentence using FastApi