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GitHub topics: tweets-extraction

iSarabjitDhiman/TweeterPy

TweeterPy is a python library to extract data from Twitter. TweeterPy API lets you scrape data from a user's profile like username, userid, bio, followers/followings list, profile media, tweets, etc.

Language: Python - Size: 141 KB - Last synced at: 4 days ago - Pushed at: 8 days ago - Stars: 218 - Forks: 40

akiomik/squawks

A cli tool to get old tweets as csv

Language: Go - Size: 243 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 5 - Forks: 0

InvestigUser/X-Monitoring

Advanced tool designed for automated tweets monitoring (by @user / keywords / GEO), automated taking screenshots, and sharing (Telegram / Discord / Email).

Size: 37.1 KB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 4 - Forks: 0

coskundeniz/twitter-data-extractor

Twitter Data Extractor

Language: Python - Size: 17.6 MB - Last synced at: 2 days ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0

Manoj-2702/Squirtle-Techies

Hydra AI: Geospatial Water Management System utilizing AI and NLP for real-time monitoring and optimized resource allocation

Language: HTML - Size: 678 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 1

usamafarooq1/Twitter-Scraper

2024 Twitter Automation Bot Scraper | Automate the extraction of tweet data from Twitter using Python and Selenium. This project logs into Twitter, navigates to a profile, scrolls through the page, and collects tweets, including text, dates, links, and images.

Language: Python - Size: 9.77 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Salman-Khan-Mohammed/Tweets-Topic-Modeling-with-LDA-and-Interactive-Word-Cloud-Visualization

This project focuses on analyzing tweets from Twitter using topic modeling techniques and interactive visualizations. It employs Latent Dirichlet Allocation (LDA) to discover topics within the tweet data and generates interactive word clouds based on topic-term strengths derived from the model. Users can explore topics and related tweets interactiv

Language: Jupyter Notebook - Size: 10.6 MB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

TolstoyDotCom/SuedeDenim

Javascript to parse "NewTwitter" tweets

Language: JavaScript - Size: 51.8 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

rahulkarda/Tweets-by-Leon

Leon's Twitter Timeline

Language: HTML - Size: 112 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

rahulkarda/100Devs-Tweets

#100Devs Twitter Timeline

Language: HTML - Size: 304 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

matteo-grella/tweetdeck-scraper

A tool that continuously scrapes TweetDeck tweets

Language: Python - Size: 10.7 KB - Last synced at: 7 days ago - Pushed at: about 5 years ago - Stars: 18 - Forks: 5

m7md-arwani/Twitter-Data-Extraction

Twitter Tweets Extraction app

Language: Java - Size: 227 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

petarov/shut-up-bird 📦

:bird: Put your tweets/likes in an EPUB and delete them like a boss

Language: Python - Size: 30.3 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 21 - Forks: 4

Sy-Muzammil/Tweet-Crawlers

Different tweet crawlers using tweepy

Language: Python - Size: 7.81 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 7

mucahidbal/twitterscraper-simple

Scrape tweets without authentication using Selenium WebDriver

Language: Python - Size: 27.3 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

archelaus1/getTweets

Get latest n tweets using R - one will need to have created Twitter developer account first and then have the API keys and tokens ready.

Language: R - Size: 0 Bytes - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

amansingh9097/scrapIt

some handy scripts for scrapping data

Language: Python - Size: 4.57 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 0

Arushi-Gupta07/Tweet-Sentiment-Extraction

This project is about analyzing the raw tweet and extracting the text or phrase that best supports the sentiment and categorize tweet into Positive, Negative or Neutral sentiments.

Language: Jupyter Notebook - Size: 6.96 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

abhishek9sharma/TwitterAnalysis

Python Notebooks for Collecting Tweets and Analyze their text using various text classification and clustering techniques

Language: Jupyter Notebook - Size: 979 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 4

theQuert/COVID-Tweets-Summ

COVID-19: Analyzing Tweets for Extractive Multi-Document Summarization on News

Language: HTML - Size: 39.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

JKL404/Twitter-API

SAVE TWEETS 🐦 IN CSV. Easily collect tweet 🐦 data from Twitter in just one click.

Language: CSS - Size: 260 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

kiran-lenka/Bitcoin-Price-Predictor

Bitcoin price predictor and forecasting using sentiment analysis and LSTM

Language: Jupyter Notebook - Size: 4.03 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 2

maulanaakbardj/Twitter_R

Twitter Sentiment Analysis is the process of determining the emotion behind a set of words, which is used to gain an understanding of the attitudes, opinions and emotions expressed in online mentions. Sentiment analysis is in high demand because of its efficiency. Thousands of text documents can be processed for sentiment in seconds, compared to the hours it takes teams of people to manually complete them. Because it is so efficient (and accurate - Semantic has 80% accuracy for English content), many businesses are adopting text and sentiment analysis and incorporating it into their processes. Applications: A broad and powerful sentiment analysis application.

Language: R - Size: 565 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

ramtiin/Word-Clouds-With-Sentiment-Analysis-of-the-Most-Recent-Tweets

Downloaded tweets from the most popular news agencies and extract keywords from them. In the next steps, I plotted a word cloud and did a sentiment analysis for tweets that have the keywords.

Language: Jupyter Notebook - Size: 234 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 0

NoSpringNoRain/Tweets-Analysis-about-Tourist-Spots-Recommendation

In this project, we developed a pipeline to make recommendation of the best tourist spots by implementing sentiment analysis on related Tweets using Google's NLP services.

Language: Python - Size: 656 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 1

pragyakatyayan/Tweets_Dataset_for_Sarcasm_detection_in_Hindi

Raw dataset having over 16000 tweets (including both sarcastic and non-sarcastic) for researchers aspiring to work on Sarcasm Detection in Hindi.

Language: Jupyter Notebook - Size: 3.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

nidhisha-shetty/Tweets-based-on-keyword

Python program to fetch all the tweets that contain a particular keyword from twitter.

Size: 1.95 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

nidhisha-shetty/Tweets-from-a-twitter-handle

Python program to fetch all tweets posted by a particular twitter handle.

Size: 1.95 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0