AluMind fornece aplicativo focado em bem-estar e saúde mental. Os Feedbacks vindo dos usuários em diferentes plataformas são analisados com LLM, classificados por sentimento e são extraídas possíveis sugestões, resultando em uma resposta personalizada ao feedback do cliente.

This project analyzes customer reviews to discover key language patterns that drive satisfaction and loyalty. Enabling African SMEs, with a focus on women-led businesses, to refine their offerings, enhance customer experience, and build strong brand perceptions, ultimately thriving in the competitive African market.

Transformers 库快速入门教程

Let's you post your review about a fictional restaurant 😋🍽️

😎 Awesome lists about Speech Emotion Recognition

Final project for PIE00088: Sentiment prediction based on input sentence by user.

Sentilect is an intelligent sentiment analysis tool designed to automatically evaluate and interpret the emotional tone of text data. By leveraging advanced natural language processing models, Sentilect analyzes user reviews, feedback, and comments to automate review process.

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.

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.

This project leverages deep learning transformers to classify YouTube comments into six distinct emotions.

Gaslighting: An R Package for Detection of Gaslighting in Text Samples

fasttext 모델로 한국어 문장을 감성 분류하는 프로젝트 HART ♥️ 입니다.

Real-time cryptocurrency sentiment analysis platform

Sentiment Analysis of IMDB movie reviews using SVM with an accuracy of 87%.

Document Level Sentiment Analysis is an End-to-End deep learning workflow using Hugging Face transformers API to do a "classification" task at document level, to analyze the sentiment of input document containing English sentences or paragraphs.

Neuro Network for Natural Language Processing (MLP Multi-layer perceptron, CNN Convolutional neural network, LSTM RNN)

An implementation of the by a study by Petr Hajek & Michal Munk 'Speech emotion recognition and text sentiment analysis for financial distress prediction' but this time using Java

Arabic Sentiment Analyzer: Integrating State-of-the-Art Pre-trained Sentiment Models ( AraBERT, and AraNet) in a Single Tool.

A powerful sentiment analysis tool leveraging OpenAI GPT AI model