(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

A Laravel wrapper to perform sentiment analysis over an English sentence

Extraction of tweets and Perform sentiment analysis on the presidential candidature of Donald Trump, Joe Biden and Kanye West in the upcoming elections in US in November, 2020.

Magic Chat 🎙️ is a #real-time AI voice chat app with expressive characters using #OpenAI, #ElevenLabs, XTTS, #Ollama, #Kokoro TTS, #WebRTC, and #Docker, supporting #games, #stories, and #local or #cloud models.

NLP basic and advance text preprocessing concepts and techniques

Funções e dicionários em forma de pacote para o R, criados a partir da necessidade de realização de de uma Análise de Sentimento em português.

Todo lo accesorio y entorno al proyecto sobre Análisis de textos con R

The goal of sentiment analysis is to classify the text based on the mood or mentality expressed in the text, which can be positive negative, or neutral.

This repository contains a Python program that performs sentiment analysis on movie reviews, classifying them as either positive or negative. A great project for learning about Natural Language Processing (NLP) and sentiment analysis techniques! 👍👎

This project was done as a part of my internship at Bennet University for in May-June 2020.

An end-to-end NLP project of mine.

This project provides a powerful tool for stock market analysis and portfolio management, combining multiple forecasting models, technical analysis, and risk management features. Built with modern Python libraries and Streamlit for an intuitive user interface.

📚🧠🌐 Welcome to TextAIHub repository! Explore the fascinating realm of NLP, text generation, sentiment analysis, and beyond. Join us in propelling language understanding to new frontiers through state-of-the-art AI models and advanced techniques. Together, let's ignite a revolution in text processing! 🚀💬🌍

The Product Review Sentiment Analysis project that leverages NLP and ML techniques to classify customer reviews into positive, negative or neutral sentiments. The application provides insights into customer feedback, helping to identify product strengths and weaknesses and enhance the overall customer experience.

Bitcoin Price Prediction with 16 Machine Learning Algorithms. The datasets are given. To pull tweets use 'TweetsPull' class. In that case you have to authenticate with your twitter account. The workflow is 1.Pull tweets 2.calculate sentiment score 3.use machine learning algorithms to predict bitcoin price change according to sentiment. This project predicts weather the price of bitcoin is increasing or decreasing with respect to sentiment. This has been done for March 2018 and can be improved with more datasets.

A project that harnesses the Stanford NLP library to gauge sentiment from provided text via an intuitive graphical interface.

Analyzes emotions in text chunks per chapter using a sentiment analysis model, visualizing scores across chunks as line graphs. Includes pie charts showing dominant emotions per chapter, enhancing understanding of emotional variations in text chunks. Developed using Transformers library.

Sentiment Analysis with jupyter notebook python by Pycharm Edu

Web app that provides relevant Quranic verses based on emotional states, combining sentiment analysis with spiritual guidance.

😊 Classify emotions in text using a CoreML model in this iOS app, built with SwiftUI and MVVM architecture for efficient performance and modern development.

German Sentiment Analysis

Sentiment Analysis of 1.72 million tweets regarding Joe Biden and Donald Trump from 2020 US election to find political trends and predict election outcome.

No description provided.

Resources for Orange data Mining (Class X)

No description provided.

Emotion classification iOS app using CoreML and SwiftUI – demo for sentiment and emotion analysis, with the model converted from Scikit-learn using coremltools.

This project analyzes public opinions on digital transformation in Indonesia by scraping YouTube comments. It utilizes unsupervised learning for clustering and topic extraction. Various text preprocessing methods, such as TF-IDF, Word2Vec, and LDA, are applied for deeper insights.

Sentiment-Analysis-Django-App

Sentiment Analysis for Consumer Behavior Prediction

Free to use Twitter Sentiment Analysis and Visualization Application.