sentimentanalysis
There are 2 repositories under sentimentanalysis topic.
hmohebbi / SentimentAnalysis
(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
Language:Jupyter Notebook 73AntoineAugusti / laravel-sentiment-analysis
A Laravel wrapper to perform sentiment analysis over an English sentence
Language:Hack 45Data-Science-Community-SRM / Forecasting-US-Elections
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.
Language:Jupyter Notebook 25aimaster-dev / Magic-Voice-Chat
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.
Language:Python 12gulabpatel / NLP_Basics
NLP basic and advance text preprocessing concepts and techniques
Language:Jupyter Notebook 9Jodavid / sentimentBR
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.
Language:R 6LakshayD02 / Sentiment_Analysis_of_Movie_Reviews
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! 👍👎
Language:HTML 67PartidasDigital / AnalisisTextual
Todo lo accesorio y entorno al proyecto sobre Análisis de textos con R
Language:R 5Tanwar-12 / Sentiment-Emotion-Analysis-Using-NLP
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.
Language:Jupyter Notebook 5shatakshisingh24 / Offense_evaluation_in_memes
This project was done as a part of my internship at Bennet University for in May-June 2020.
Language:Jupyter Notebook 4gamzeakkurt / stock-forecasting-portfolio
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.
Language:Python 3MohammadMoradpoor / TextAIHub
📚🧠🌐 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! 🚀💬🌍
Language:Jupyter Notebook 3mrafifrbbn / steam-reviews
An end-to-end NLP project of mine.
Language:Jupyter Notebook 3nafisalawalidris / Product-Review-Sentiment-Analysis
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.
Language:Jupyter Notebook 3AhmadSubadri / Twitter-Sentiment-Analysis
Sentiment Analysis with jupyter notebook python by Pycharm Edu
Language:Jupyter Notebook 2Hasibwajid / Novel-Emotion-Detection-Using-emotion-english-distilroberta-base
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.
Language:Jupyter Notebook 2ManuPer3z / Sentiment-Analysis-Project
A project that harnesses the Stanford NLP library to gauge sentiment from provided text via an intuitive graphical interface.
Language:Java 2ShaomiR / Bitcoin-Price-prediction-with-machine-learning
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.
Language:R 2agusabdulrahman / Sentiment-Analysis-Django-App
Sentiment-Analysis-Django-App
Language:Python 1andrzej-malina / German-Sentiment-Analysis
German Sentiment Analysis
Language:Jupyter Notebook 1- Language:Jupyter Notebook 1
arya-io / LingoLens
A Streamlit app for language translation and sentiment analysis powered by GoogleTranslator and TextBlob.
Language:Python 1Pranav-Lejith / Class-X-AI
Resources for Orange data Mining (Class X)
Rashiin / consumer-sentiment-analysis
Sentiment Analysis for Consumer Behavior Prediction
Language:Jupyter Notebook 1- SentimentAnalysisofElectionTweets
shamayla38 / SentimentAnalysisofElectionTweets
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.
Language:Jupyter Notebook 1 steveee27 / Topic-Extraction-and-Clustering-Analysis-of-YouTube-Comments-on-Digital-Transformation
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.
Language:Jupyter Notebook 1warlockJay / Twitter-Sentiment-Analysis-and-Visualization-using-Python
Free to use Twitter Sentiment Analysis and Visualization Application.
Language:Python 1- Language:Jupyter Notebook 1
ymorsi7 / QuranicSentiment
Web app that provides relevant Quranic verses based on emotional states, combining sentiment analysis with spiritual guidance.
Language:Python 1Abhi-Pat / Text-Data-Analsis-Youtube-Case-Study-
This repository provides a comprehensive analysis of YouTube comments and related data, leveraging sentiment analysis, emoji usage, word cloud generation, and various graphical visualizations. Key steps include: Data Preparation, Sentiment, WordCloud, Emoji, Data Collection & Analysis
Language:Jupyter Notebook 0amiralisahraei / gmail-llm-categorization
A Dockerized ETL pipeline for extracting, processing, and categorizing Gmail emails using an LLM, with results saved in CSV format.
Language:Python 0burrows99 / elastiq-backend
Elastiq Backend is a FastAPI-based backend service designed to provide sentiment analysis capabilities. It leverages the Cohere API to analyze text sentiment and is containerized using Docker for seamless deployment.
Language:Python 0Radhikareddy-chintareddy / Sentiment-Analysis-of-Apple-Tweets-A-Text-Mining-and-Classification-Approach
Text mining and natural language processing (NLP) techniques to analyze sentiment in tweets about Apple. By leveraging classification algorithms like Naïve Bayes and advanced ensemble techniques, the project seeks to classify tweets as positive, negative, or neutral, providing insights into public perception and customer sentiment.
Language:Jupyter Notebook 0asma-sassi / nlp-sentiment-analysis-api
This API uses spaCy's pre-trained models for Named Entity Recognition (NER) and Sentiment Analysis. NER is powered by the spaCy en_core_web_trf transformer model, while sentiment analysis uses a custom-trained transformer model. Built with Flask, the API offers simple endpoints for processing JSON requests and responses.
Language:PythonMBhatti26 / Web-and-Social-Media-Analytics
Reddit-based social media analysis of the r/AskWomen community (5M+ members). Extracted 4,000+ comments using the Reddit API, applied extensive preprocessing (SpaCy, contractions, language filtering), and performed sentiment analysis (VADER), topic modeling (LDA), and text mining to uncover key themes and emotional dynamics within the community.
Language:Jupyter NotebookMianMHaroon / SentimentAnalysis_CoreML_EmotionClassifier
Emotion classification iOS app using CoreML and SwiftUI – demo for sentiment and emotion analysis, with the model converted from Scikit-learn using coremltools.
Language:Swift
