GitHub topics: twitter-sentiment-analysis

Repositories

Armedstudent/Sentimental-Analysis

Build a model to classify text as positive, negative, or neutral. Apply NLP techniques for preprocessing and machine learning for classification. Aim for accurate sentiment prediction on various text formats.

Language: Jupyter Notebook - Size: 275 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Kakarotprince/sentimentanalysis

hackathon

Language: Jupyter Notebook - Size: 33.3 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

charlescol/news-domains-X-tracker

An auto-refreshing dataset of major news domains and their X (formerly Twitter) accounts, complete with real-time stats like follower counts and engagement metrics. Made for tracking media trends and analytics at scale.

Language: Python - Size: 5.26 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 4 - Forks: 0

symongpt/twitter-analysis-app

This repository hosts a web application that analyzes tweets to recommend movies and songs based on public sentiment. Users can easily access real-time insights without scrolling through endless Twitter feeds. 🐙🌟

Language: Python - Size: 276 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

agrawal-rohit/tweet-sense

Sentiment analysis dashboard for Twitter hashtags

Language: Jupyter Notebook - Size: 14.5 MB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 100 - Forks: 35

KIETOU1/sentimental-analysis

# Sentiment Analysis Web ApplicationThis web application analyzes text sentiment using TextBlob and features a sleek UI built with Next.js and Flask. Explore real-time insights and visualizations to understand sentiment trends easily. 🐙🌍

Language: TypeScript - Size: 794 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

shirosaidev/stocksight

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

Language: Python - Size: 3.03 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 2,283 - Forks: 475

anuragratna/twitter-mcp-server

tweet, sentiment analysis

Language: Python - Size: 10.7 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

StephanAkkerman/fintwit-bot

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.

Language: Python - Size: 5.34 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 103 - Forks: 27

brunodpoliveira/twittter-sentiment-analysis

A free and open-source sentiment analysis program, using Twitter data

Language: Python - Size: 8.52 MB - Last synced at: 5 days ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 0

Farscent/gamadata-1

Language: Jupyter Notebook - Size: 6.35 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

KRISHNA-GOPALA/Twitter-Sentiment-Analysis Fork of arushsirotiya/Twitter-Sentiment-Analysis

A Python-based web application that performs sentiment analysis on Twitter data using keywords or hashtags, leveraging Flask, Tweepy, and NLTK.

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santhoshse7en/tweety

tweety scrape all the tweets using python and selenium with No API rate limits. No restrictions. Extremely fast.

Language: Python - Size: 23.4 KB - Last synced at: 8 days ago - Pushed at: 2 months ago - Stars: 5 - Forks: 1

ruanchaves/hashformers

Hashformers is a framework for hashtag segmentation with Transformers and Large Language Models (LLMs).

Language: Python - Size: 23.6 MB - Last synced at: 20 days ago - Pushed at: 11 months ago - Stars: 71 - Forks: 5

ErcinDedeoglu/Twitter-Trend-Topics 📦

📊📈🐦🌎🔥🔗📚📊📈 This repository tracks the top trending topics on Twitter from around the world.

Size: 1.1 GB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 3

mvharsh/Movie-and-Book-Recommendations

A smart recommendation system that uses Twitter Sentiment Analysis and Genre Mapping to suggest books and movies tailored to a user’s emotional tone.

Language: Python - Size: 38.1 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Im2rnado/twitter-sentiment-analysis

Sentiment analysis on tweets using Logistic Regression, Decision Trees, KNN, Random Forest, XG Boost, SVM, and NLP (RoBERTa)

Language: Jupyter Notebook - Size: 450 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

chogerlate/bow-sentiment-analysis-application

This project is a Part of CPE342 Natural Language Processing Coursework

Language: Python - Size: 1.99 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

soxoj/bellingcat-hackathon-watchcats

📊 Adana - 1-click analytical dashboard for OSINT researchers

Language: Jupyter Notebook - Size: 7.01 MB - Last synced at: 13 days ago - Pushed at: about 1 year ago - Stars: 40 - Forks: 14

Snigdho8869/twitter-suicidal-ideation-detection

This repository focuses on detecting suicidal ideation on Twitter using NLP and ML models, including Logistic Regression, SVM, RF, MNB, Ensemble Learning, AdaBoost, LSTM, GRU, CNN, and BERT. This project aims to identify individuals who may be at risk of suicide and contribute to suicide prevention efforts.

Language: Jupyter Notebook - Size: 38.2 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

hasanimran96/Predicting-Consumer-Purchase-intention-using-Twitter-Data

Predicting Consumer Purchase intention using Twitter Data

Language: Jupyter Notebook - Size: 283 MB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 50 - Forks: 16

Kyennatel/Twitter-Followers-booster-v1.2

Size: 3.91 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

shaheerAlam1/ukarine-russia-war-tweet-analysis-using-NLP

Ukraine Russia war tweet Analysis using Natural Language Processing NLP (Sentimental Analysis)

Language: Jupyter Notebook - Size: 1.41 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

labrijisaad/Twitter-Sentiment-Analysis-with-Python

I aim in this project to analyze the sentiment of tweets provided from the Sentiment140 dataset by developing a machine learning sentiment analysis model involving the use of classifiers. The performance of these classifiers is then evaluated using accuracy and F1 scores.

Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 10 - Forks: 2

xdevplatform/weekly-tweet-sentiment

A tutorial which walks you through how you can create code that pulls your Tweets from the past 7 days and gives you a score to let you know exactly how your week has been.

Language: Jupyter Notebook - Size: 72.3 KB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 25 - Forks: 15

swapnanildutta/Sentinum--Sentiment-Analysis-using-Social-Media-Data

Sentiment Analysing algorithm to predict the emotional state of an individual based on the data input from the person's social media posts and interactions.

Size: 14.4 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 10 - Forks: 5

tomoima525/x-analysis-agent

An AI Agent to analyze what people are thinking by observing posts on X(Twitter)

Language: TypeScript - Size: 28.3 KB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 3 - Forks: 0

akshitvjain/realtime-twitter-trends-analytics

A big data project to develop a real-time data pipeline for analyzing the popularity and sentiments of trending topics on Twitter.

Language: Scala - Size: 50.6 MB - Last synced at: 4 months ago - Pushed at: about 3 years ago - Stars: 23 - Forks: 8

mdh266/TwitterSentimentAnalysis

Twitter Sentiment Analysis using Spark, MongoDB, and Google Cloud

Language: Jupyter Notebook - Size: 4.47 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 0

iojw/bluebird

Real-time sentiment analysis and visualization of Twitter

Language: TypeScript - Size: 15.3 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 3

Prem07a/TwitterSentiment

Analyzing Twitter sentiments with NLP deployed on Streamlit. Predicts sentiment (positive/negative) based on user-input text.

Language: Python - Size: 49.1 MB - Last synced at: 4 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0

vinitshahdeo/jobtweets

:mag: This project is about searching the twitter for job opportunities using popular hashtags and applying sentiment analysis on this. :hash: :bird:

Language: Python - Size: 1.36 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 123 - Forks: 83

drleniaw/Analysis_Sentiment_Twitter_Free_Sex_In_Indonesian

Analysis Sentiment on Twitter Free Sex In Indonesia

Language: Jupyter Notebook - Size: 2.35 MB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

vinitshahdeo/TwitterSentimentAnalysis

:chart: A web app to search twitter based on #Hashtags and calculate the sentiment of tweets.

Language: PHP - Size: 190 KB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 38 - Forks: 24

udhaya2823/SENTIMENT-ANALYSIS-MODEL---Deploy-using-AWS-Services-Hugging-Face-Pretrained-model

🚀This project delivers a scalable and secure web application, powered by AWS services and accessible via Streamlit or Gradio. 🧠The model analyzes tweets to classify sentiments as Positive, Negative, or Neutral, based on entity-level context. Key steps include fine-tuning or leveraging pre-trained models, storing them in S3, and deploying via EC2.

Language: Jupyter Notebook - Size: 4.38 MB - Last synced at: 5 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

ezgisubasi/turkish-tweets-sentiment-analysis

This sentiment analysis project determines whether the tweets posted in the Turkish language on Twitter are positive or negative.

Language: Jupyter Notebook - Size: 1.96 MB - Last synced at: 5 months ago - Pushed at: almost 2 years ago - Stars: 60 - Forks: 14

WalidAlsafadi/TwitterSentiment-Llama3

Analyzes sentiment from tweets related to Gaza using GroqCloud’s Llama-3 LLM model and Selenium for data collection. This project aims to provide insights into public sentiment and emotional tone regarding Gaza.

Language: Jupyter Notebook - Size: 85 KB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 3 - Forks: 0

kishlayjeet/Zomato-Twitter-Sentiment-Analysis-Data-Pipeline

This project provides valuable customer sentiment insights for Zomato by tracking and analyzing tweets related to their brand and services.

Language: Python - Size: 22.5 KB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 13 - Forks: 2

gautamgc17/Bert-for-Sentiment-Analysis

This project demonstrates twitter sentiment analysis using the BERT model into 3 classes - positive, negative and neutral.

Language: Python - Size: 1.08 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

piyush5566/Twitter-Sentiment-Analysis

This is 4 class classification. The classes include - Happy, Sad, Angry and Others.

Language: Jupyter Notebook - Size: 3.19 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

rajaprerak/TwitterAnalysis

Twitter sentiment analysis of trending movies and songs.

Language: Python - Size: 273 KB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 9 - Forks: 4

alvarobartt/twitter-stock-recommendation

Simple Stock Investment Recommendation System based on Machine-Learning algorithms for prediction and Twitter Sentiment Analysis.

Language: Python - Size: 90.5 MB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 124 - Forks: 43

mertkahyaoglu/twitter-sentiment-analysis

Twitter Sentiment Analysis For Turkish Language

Language: Python - Size: 118 KB - Last synced at: 3 months ago - Pushed at: about 6 years ago - Stars: 59 - Forks: 18

Arsh2k01/UTrack Fork of caciitg/UTrack

UTrack analyses the user's tweets and finds the level of Loneliness, Stress, and Anxiety, and their trends over time

Language: Python - Size: 56.9 MB - Last synced at: 4 months ago - Pushed at: about 2 years ago - Stars: 8 - Forks: 5

engali94/Twitter-Account-Analyzer

Using various Python libraries such as Pandas, tweetPy, JSON ans matplotLib to take a sneak peek on your Twitter account using Google Colab.

Language: Python - Size: 40 KB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 12 - Forks: 4

DanishTalpur/Sentiview-Website

SentiView is a sentiment analysis tool designed to analyze and interpret the emotions behind tweets on Twitter. The platform processes textual data from user-generated tweets to determine the sentiment behind them—whether they are positive, negative, or neutral.

Language: CSS - Size: 5.5 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

zargiteddy/Twitter-Sentiment-Analysis

Analisis Sentimen Twitter terhadap Pernikahan di Usia Muda Metode Support Vector Machine (SVM)

Language: Jupyter Notebook - Size: 4.47 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Wazzabeee/NLP_Unsupervised_Sentiment_Analysis_Elon_Musk

Notebook used to explore and classify 500,000 tweets about Elon Musk in an unsupervised manner.

Language: Jupyter Notebook - Size: 7.68 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 5

SalunkheAbhijit18/PRODIGY_DS_04

Task 4 of the Prodigy infotech Data science internship

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Nike-VIP-DALES/Twitter-account-creator

📱Twitter account creator📌🔈 - request based. - very fast. - in python. - open source - Create more than 8k accounts per day - Creating an account with sms confirmation. - create an account with mail confirmation. - request based. - fakemail supported. - imap supported. - kop and many mail services integrated. - full approved account creation.,,,,

Language: Python - Size: 1.95 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Ate329/SentiMusic

A text-to-audio application that turns words and sentiments into melodies.

Language: Python - Size: 3.38 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 3 - Forks: 0

Tobibiggest/Ashluxe-Sentiment-Analysis-using-Twitter-APi

A data science project using the Twitter API v2 to analyze sentiment around the Ashluxe fashion brand on Twitter, focusing on public opinion in Nigeria. This project provides insights into consumer perceptions, applying Natural Language Processing (NLP) to classify sentiment and visualize the distribution of opinions.

Language: Jupyter Notebook - Size: 36.1 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

FPT-ThaiTuan/Using-Word-Embeddings-for-Twitter-Sentiment-Analysis

The project researches sentiment analysis on Twitter, with the goal of evaluating the positivity, negativity or neutrality of comments. Using Word Embeddings, an advanced method in natural language processing, our model achieved a high accuracy of 96.61%. The model was trained on Twitter data and tested on a data comment dataset from Binance.

Language: Jupyter Notebook - Size: 12.5 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 0

Moamen-Abdelkawy/WeRateDogsTwitterAnalysis

Explore WeRateDogs Twitter Archive Data

Language: Jupyter Notebook - Size: 2.27 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

avs-abhishek123/Twitter-Sentimental-Analysis

An AI project where we do web scrapping from Twitter API, find the sentimental analysis using bag-of-word model, & store it in a csv file.

Size: 99.6 KB - Last synced at: 7 months ago - Pushed at: about 2 years ago - Stars: 15 - Forks: 1

akshaygidwani404/Realtime-Twitter-Sentiment-Analysis

A big data initiative aimed at creating a real-time data pipeline to analyze the popularity and sentiments of trending topics on Twitter.

Language: Jupyter Notebook - Size: 73.2 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

kracekumar/tamil-dataset

Tamil Language dataset for NLP related work.

Size: 135 KB - Last synced at: about 2 months ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 1

mutalibcs/Twitter-Sentiment-Analysis

Twitter Sentiment Analysis

Language: Jupyter Notebook - Size: 37.2 MB - Last synced at: 6 months ago - Pushed at: 9 months ago - Stars: 3 - Forks: 0

rbhatia46/Twitter-Sentiment-Analysis-Web

Twitter Sentiment Analysis using Textblob and Tweepy, wrapped with Flask as a web app.

Language: JavaScript - Size: 990 KB - Last synced at: 3 months ago - Pushed at: over 6 years ago - Stars: 27 - Forks: 14

doctordoom101/Twitter-Sentiment-Analysis---Programming-Language-Lecturer-Final-Project

This Repository Contains About How I done The Twitter Sentiment Analysis from Data Collecting to Machine Learning Model Implementation. #Project title# : *Analisis Sentiment Terhadap Mental Health Anak Remaja dengan Dataset Twitter berbasis Hybrid Model Machine Learning*

Language: Jupyter Notebook - Size: 656 KB - Last synced at: 9 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Chulong-Li/Real-time-Sentiment-Tracking-on-Twitter-for-Brand-Improvement-and-Trend-Recognition

A real-time interactive web app based on data pipelines using streaming Twitter data, automated sentiment analysis, and MySQL&PostgreSQL database (Deployed on Heroku)

Language: Jupyter Notebook - Size: 5.78 MB - Last synced at: 9 months ago - Pushed at: about 5 years ago - Stars: 283 - Forks: 127

kaantas/spark-twitter-sentiment-analysis

Sentiment Analysis of a Twitter Topic with Spark Structured Streaming

Language: Python - Size: 2.93 KB - Last synced at: 20 days ago - Pushed at: over 6 years ago - Stars: 55 - Forks: 34

kbastani/sentiment-analysis-twitter-microservices-example

A sample application that demonstrates how to build a graph processing platform to analyze sources of emotional influence on Twitter.

Language: Java - Size: 289 KB - Last synced at: 3 months ago - Pushed at: almost 6 years ago - Stars: 60 - Forks: 24

Wazzabeee/pyspark-etl-twitter

Implementation of an ETL process for real-time sentiment analysis of tweets with Docker, Apache Kafka, Spark Streaming, MongoDB and Delta Lake

Language: Python - Size: 3.37 MB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 16 - Forks: 4

theosorus/Sentiment-Classifier

A simple sentiment classifier who choosen if a sentence is negative or positive with a tensorflow model using lstm cell.Trained on tweets.

Language: Jupyter Notebook - Size: 17.8 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

laustindasauce/twitter-bot 📦

This script uses Python and Redis with Twitter API to run a fully automated twitter account.

Language: Python - Size: 3.15 MB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 19 - Forks: 3

neeraj1909/twitter_sentimental_analysis

Sentiment Analysis is a term that you must have heard if you have been in the Tech field long enough. It is the process of predicting whether a piece of information (i.e. text, most commonly) indicates a positive, negative or neutral sentiment on the topic. In this project, I will go through making a Python program that analyzes the sentiment of tweets on a particular topic. The user will be able to input a keyword and get the sentiment on it based on the latest 100 tweets that contain the input keyword.

Language: Python - Size: 114 KB - Last synced at: 2 months ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 2

panacloud/twitter

A repo to learn Twitter API and Bot development.

Language: TypeScript - Size: 14.6 KB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 11 - Forks: 5

jiya19g/MarketView

predictive model designed to forecast stock market trends by integrating historical stock price data with sentiment analysis from social media tweets. This model leverages technical indicators and real-time sentiment to provide insights into stock movements and assist in making informed investment decisions.

Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

3x-dev/Analyzing-Twitter-Hate-Speech-Trends-Using-Sentiment-Analysis

Contains files used to conduct research on analyzing trends for hate speech on Twitter using Sentiment Analysis - an NLP approach.

Language: Jupyter Notebook - Size: 2.06 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Nishant2018/Twitter_Scrapping_-_Sentiment_Analysis

This web application performs sentiment analysis on tweets using Twitter's API.

Language: HTML - Size: 489 KB - Last synced at: 5 months ago - Pushed at: 11 months ago - Stars: 2 - Forks: 0

ViralLab/TurkishBERTweet

TurkishBERTweet: Fast and Reliable Large Language Model for Social Media Analysis

Language: Python - Size: 1.84 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 29 - Forks: 1

RohanAmbhore786/PRODIGY_DS_04

Task 4 of the Prodigy infotech Data science internship

Language: Jupyter Notebook - Size: 3.55 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Ryan-Iacovone/Chinas-OBOR-Twitter-Data-Scraping

Scrapping tweets about China's Belt and Road Initiative (BRI) from 2014-2023 to see public opinion on a staple policy of the Xi administration to increase the soft power and global creability of China. Also looking at how Chinese State Media influence the conversation surrounding the BRI on English twitter feeds.

Language: Jupyter Notebook - Size: 59.9 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 2 - Forks: 0