🎯 哔哩哔哩(bilibili)评论区数据可视化分析软件-- up主可用于指导自己的题材选择，明确自己的粉丝群体

This repository contains independent project on Social Media Analytics to identify key predictors of social influence.

Taking a look at data of 1.6 million twitter users and drawing useful insights while exploring interesting patterns visualized with concise plots. The techniques used include text mining, sentimental analysis, probability, time series analysis and Hierarchical clustering on text/words using R.

A social media analytical tool that provides the useful insights and meaningful stats that helps in the enhancing your social media presence.

A toy system for generating event timelines from social media data, specifically focusing on the Olympic Game medalist events.

This project involves helping a social media company better understand its user base & behavior on its platform.

Social Media Themes

Semester 8

Social Media Analytics by Python on Biden and Trump's Twitter

Youtube Analysis Tools for Youtuers

Gives your customer's tweets, the sentiment of those tweets, and an interface for you to reply to them. Also, some analytics about your customers

This project aims to perform a social network and content analysis relatively to the r/marvelstudios subreddit from the popular online discussion forum Reddit. Report and project presentation are in english.

Social Media Analytics Tool provides insights into social media engagement metrics like likes, shares, and comments. Built with Streamlit, Plotly, and LangFlow, it offers an interactive dashboard powered by AI for post-performance analysis.

🚀 Uncover hidden insights in Snapchat ads! Explore targeting trends, spending patterns, and ethical concerns with interactive Tableau dashboards. 📊✨

Social Media Performance Analysis using LangFlow, DataStax Astra DB, and Streamlit to generate GPT-powered insights from real Instagram data.

Here you can find Sentiment Analysis, NamedEntity Recognition, Social Media Analysis and Topic Modeling. Some of which are completed using NLP.

Comprehensive social media marketing patterns covering modern social media strategies, content creation, and engagement optimization methodologies. Build authentic communities and drive social engagement.

Advanced Telugu sentiment analysis for YouTube comments using Meta Llama 3.2 with 4-bit quantization. Features interactive dashboard, code-mixed text support, real-time processing, and comprehensive evaluation metrics. Perfect for analyzing Telugu social media content and movie reviews.

machine learning project designed to analyze Instagram comments for sentiment detection, question identification, and topic modeling. Utilizing algorithms such as LDA, LSA, NMF, and BERT, CommentAnalyzer provides valuable insights into user interactions, helping brands and researchers understand audience sentiments and trends.

SocialSched is a lightweight tool for scheduling social media posts across platforms like Instagram, Twitter, and LinkedIn, with basic analytics to track engagement.