Getting Started with Twitter/X Social Sensing

Demo

social.sensing.tool.mp4

Project Description:

Social Sensing for Twitter is an advanced data analytics tool designed to extract, visualize, and analyze Twitter/X data, providing deep insights into social media trends, user behavior, and content performance over specified time frames. This powerful platform offers a multifaceted approach to understanding the Twitter/X landscape, enabling users to make data-driven decisions for marketing, research, or strategic planning. Key Features and Functionalities:

Keyword Analysis and Comparison:

• Track and compare multiple keywords or hashtags simultaneously.
• Visualize keyword trends over time with interactive charts.
• Identify correlations between different keywords or topics.

Sentiment Analysis:

Implement advanced natural language processing techniques to gauge tweet sentiment. Categorize tweets as positive, negative, or neutral. Track sentiment shifts over time and in response to specific events.

Topic Modeling and Content Analysis:

Utilize Latent Dirichlet Allocation (LDA) for automated topic discovery. Generate interactive word clouds to visualize dominant themes and topics. Provide topic evolution analysis to track changing discussions over time.

Tweet Performance Analytics:

• Analyze engagement metrics (likes, retweets, replies) for individual tweets and aggregated data.
• Identify high-performing content and optimal posting times.
• Compare performance across different tweet types (text, images, videos).

User Growth and Activity Tracking:

• Display follower growth charts and user engagement trends.
• Analyze user demographics and psychographics.
• Identify influential users and potential brand ambassadors.

Available Scripts

In the project directory, you can run:

npm install

Installs all the relevant dependencies/modules for the project

npm run start

Runs the app in the development mode.