3D Twitter hashtag visualization based on WebGL and Three.js

Twitter Data Scraper & Storage:- A comprehensive solution for scraping, storing, and analyzing Twitter data based on user-defined keywords or hashtags. Seamlessly incorporates the snscrape library and MongoDB for efficient data extraction and management. Equipped with a Streamlit-based GUI for simplified interaction and data visualization.

Identify the counts of hashtags and mentioned accounts and display it as graph and wordcloud

Some simple R scripts to collect and visualize twitter happenings around a conference hashtag

One of the major projects I have worked on till now outside of curriculum is a Twitter Government Sentiment Analysis. It is not just a regular sentiment analysis from a tweet input but has a lot more functionalities and complexity. To give a brief idea about what it does, the project searches a hashtag and displays real time tweets, the user who tweeted it, total retweet count of that tweet, all the hashtags used in each tweet, and most importantly the sentiment analysis of each tweet (whether it is a positive tweet or negative). The result shows the most recent 200 tweets from the day you want it to be searched from by taking a hashtag and date as input from the user. At the top of the result table, you get the total positive tweets percentage and negative tweets percentage of that hashtag. It is a full-fledged website with attractive frontend and smooth backend developed by me. I have developed the sentiment analysis model using logistic regression algorithm, and sqlite3 for database management. The major libraries I needed in the machine learning part are sklearn for logistic regression, nltk for preprocessing and tweepy for twitter authentication and tweets handling. I used matplotlib and seaborn libraries for result visualization to improve the accuracy of my project. The final accuracy I achieved is 98%. Coming to the website building, I have used Flask as my backend language and HTML, CSS, Javascript for frontend. Using Javascript, I was able to add beautiful scroll-animation effect to my project which gave it a more subtle and pleasing user experience. This project can be very useful for companies wanting to take a quick review on what's being said about their product on social media, especially from a specific period where they have made a significant change in their servicing or any other prospect of their product. They can understand the percentage of people who find their product/service positive or negative within seconds.

Twitter hashtags visualization.

A tool to visualize Twitter hashtags evolution

Shiny application that visualizes tweet hashtags from Twitter harvests

Twitter hashtag sentiment analyzer- Creates a dashboard with sentiment visualized!

A collection of scripts used to data mine and visualize Twitter traffic of users and hashtags

Visualization web app for the twitter hashtag trends around the world.

Visualizes the usage of your Twitter hashtags

:sparkles: Visualize how users from different regions react to trending hashtags on Twitter

arduino (rgb)led nodejs & twitter . visualize hashtag with led colors .

Identifying the trending hashtags on Twitter and visualizing the processed data in a real-time dashboard.

A 100% unofficial tool to visualize the semantic graph of the twitter hashtags. Build with React + Python + Redis + Docker

A simple project made to stream line the process of scraping twitter for tweets containing a certain hashtag, running an API for sentiment analysis and showing some visualizations.

Visualising the hashtag on Tweeter. On June 22, 2018, during DCI Hackathon in Berlin: 6 people gathered including myself around the idea to visualize and audiolize the hashtag. Twitter API were fetched to create the visual and audio effects. Tech Stack: HTML5, CSS3, JavaScript, and React.

Visualize Twitter Hashtags

This repository is the work to analyze and visualize the journey of a hashtag on Twitter

This project visualizes 'Trending' hashtags in Twitter.

An python Fask application that scrapes twitter hashtags with Selenium and render graph visualization with Bokeh and Networkx

A D3 bubble chart visualizing hashtag frequency among identified Russian troll twitter accounts

Web app that visualize (bar plot) public current emotion on a particular Twitter hashtag

Analyze viral social media trends across platforms like Instagram, Twitter, and TikTok. Collect, clean, and preprocess posts, hashtags, and engagement data. Perform analysis and visualize top platforms, content types, engagement patterns, and trending hashtags to extract actionable insights.

Performing a sentiment analysis of twitter data using hashtags, then cleaning and collecting tweets of a specific region; used google and twitter apis in the process and then used kibana to visualize data along with elasticsearch

Extracting, analyzing, and visualizing data from the Twitter API developing a python program that captures the centrality of any Twitter hashtag in the Ministry of Interior’s social network.

A tool to visualize locations of recent disasters and assist resource allocation and hence, disaster mitigation. Twitter API used to pull tweets on hashtags such as #rescue, #earthquake. The data is pushed to Elasticsearch, and Kibana produces the US Map based on it.

A program to scrape tweets from the top hashtag on twitter and analyse it in terms of content, popularity, device, location, etc. Python | Data Scraping | Data Visualization | Tweepy | MatPlotLib

Scraped over 140,00 tweets with the hashtag #FIFAWorldCup2022 to visualize 15 topics of discussion on Twitter. Tokenized, lemmatized, and performed topic modeling analysis of tweets using Latent Dirichlet Allocation (LDA)