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Instagram Sentiment Analysis Github

GitHub - Agastiya/instagram-app-sentiment-analysis: Data Management Project to perform sentiment on Instagram application.

The aim of this project is to analyze sentiment regarding the use of the Instagram application to understand people's views and responses. This sentiment analysis process uses machine learning techniques which are carried out using a set of datasets. This project is designed to classify Instagram-related public comments into two categories, namely positive and negative sentiment.

https://github.com/Agastiya/instagram-app-sentiment-analysis GitHub - Agastiya/instagram-app-sentiment-analysis: Data Management Project to perform sentiment on Instagram application.

GitHub - madelinekinnaird/instagram-sentiment-tutorial: walks through scraping and analyzing comment text

We live in a world where social media is constantly analyzed, optimized, and leveraged to perpetuate more engagement (insert gif from Bo Burnham's Inside here). While parts of this statement are somewhat depressing, there is a lot of opportunity for data scientists to contribute to this engagement analysis cylce.

https://github.com/madelinekinnaird/instagram-sentiment-tutorial GitHub - madelinekinnaird/instagram-sentiment-tutorial: walks through scraping and analyzing comment text

GitHub - SiddhiNyati/Sentiments-Analysis-on-Social-Media: All project materials, including code files, dataset, literature paper, report, and presentation, are available in the GitHub repository for reference and collaboration.

About the Project This project explores sentiment analysis using various machine learning and deep learning techniques on social media data. The aim is to analyze and understand sentiments expressed in textual data from platforms like Instagram, Facebook, Twitter, and Reddit. Methodologies Used: Natural Language Processing (NLP): Utilized NLP techniques for text preprocessing, including tokenization, lemmatization, and removal of stop words an...

https://github.com/SiddhiNyati/Sentiments-Analysis-on-Social-Media GitHub - SiddhiNyati/Sentiments-Analysis-on-Social-Media: All project materials, including code files, dataset, literature paper, report, and presentation, are available in the GitHub repository for reference and collaboration.

GitHub - niharika412/Instagram_sentiment_analysis: Scrapes captions from instagram accounts and performs sentiment analysis on them.

๐Ÿ‚Scrapes captions from instagram accounts and performs sentiment analysis on them. The project uses BeautifulSoup Library to scrape captions from the instagram page of an account. The most recent 10 captions are extracted and stored. Sentiment analysis is performed on them and final result can decide if user is positive or negative. The instagram account must be open though. ๐ŸŒŠPython Libraries needed: vader bs4 requests url json...

https://github.com/niharika412/Instagram_sentiment_analysis GitHub - niharika412/Instagram_sentiment_analysis: Scrapes captions from instagram accounts and performs sentiment analysis on them.

GitHub - ProjectXMG999/Social-Media-Sentiment-Analysis-Project: The biggest project - Still in progress

- The goal of this project is to develop a tool that can analyze sentiment in social media posts in real-time. The tool would be useful for companies and organizations that want to monitor how their brand or products are being perceived on social media platforms like Twitter, Facebook, and Instagram.

https://github.com/ProjectXMG999/Social-Media-Sentiment-Analysis-Project GitHub - ProjectXMG999/Social-Media-Sentiment-Analysis-Project: The biggest project - Still in progress

GitHub - Z786ZA/instagram-monitoring-tool: instagram monitoring tool brands insights

A complete monitoring solution to track hashtags, mentions, and influencer activities โ€” built for marketers, agencies, and social media teams aiming to grow smarter with data-driven insights. For discussion, queries, and freelance work โ€” reach out ๐Ÿ‘† This project helps brands monitor hashtags, track mentions, analyze competitor growth, and identify key influencers in their niche.

https://github.com/Instagram-Automations/instagram-monitoring-tool GitHub - Z786ZA/instagram-monitoring-tool: instagram monitoring tool brands insights

Instagram

Get GitHub repo link โ†“ ๐——๐—ฎ๐˜๐—ฎ๐—ฏ๐—ฟ๐—ถ๐—ฐ๐—ธ๐˜€ ๐—›๐—ฎ๐—ป๐—ฑ๐˜€-๐—ข๐—ป ๐—–๐—ต๐—ฎ๐—น๐—น๐—ฒ๐—ป๐—ด๐—ฒ: ๐——๐—ฎ๐˜† ๐Ÿฐ/๐Ÿญ๐Ÿฎ Itโ€™s time to master Data & AI skills to level up in 2026. Run this project in Databricks Free Editionโ€”no cost, powerful hands-on learning. ๐——๐—ฎ๐˜† ๐Ÿฐ: ๐—”๐—œ ๐—ฆ๐—ค๐—Ÿ ๐—™๐˜‚๐—ป๐—ฐ๐˜๐—ถ๐—ผ๐—ป๐˜€ Use AI directly in your SQL queries - no model deployment required.

https://www.instagram.com/reel/DTS__C6iVVR/ Instagram

Instagram

tom.developer ยท Original audio tom.developer ยท Original audio...

https://www.instagram.com/reel/DAi2ZV7NEmD/?hl=en Instagram

Instagram

๐Ÿง  AI with Python โ€“ ๐Ÿ“ˆ Sentiment Analysis with TextBlob ๐Ÿ”ธ Analyze text polarity (โˆ’1 to 1) and subjectivity (0 to 1) in a few lines. ๐Ÿ”ธ Turn sentences into Positive / Neutral / Negative labels. ๐Ÿ”ธ Great for reviews, emails, comments, and feedback analysis.

https://www.instagram.com/p/DOFlt8okfTN/ Instagram

ScienceDirect

There was a problem providing the content you requested Please contact our support team for more information and provide the details below. - Reference number: 9c3457d8bcdf2aea - IP Address: 77.83.25.13 - User Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36 - Timestamp: 2026-01-25 02:29:27 UTC...

https://www.sciencedirect.com/science/article/pii/S0747563225003139 ScienceDirect

instagram-data ยท GitHub Topics ยท GitHub

You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert Instagram Insights is a Streamlit application that allows you to analyze and visualize your Instagram data like users not following you back, users you aren't following back, and more.

https://github.com/topics/instagram-data instagram-data ยท GitHub Topics ยท GitHub

Instagram

i dove into the findings that were sitting stuck in my explorations without being uploaded to the public yet. i finally conceptualized my first draft of an emotional embedding for sentiment with color, pictured. hereโ€™s a summary of what the input trends are (see heatmap, image 2), which my next step is to visualize more intuitively somehow๐Ÿ˜ค๐Ÿ˜ญ - there is a moderate positive cosine between mappings of color vectors and...

https://www.instagram.com/p/DOelJZtEpZs/ Instagram

Finding Influential Users in Social Networking using Sentiment Analysis Informatica

Finding Influential Users in Social Networking using Sentiment Analysis Abstract Text of the abstract:Social Networking platforms facilitate the sharing of information, ideas, and thoughts through constructing the virtual communities. Therefore, finding people in given social networking who are really have the power to influence others is more critical.

https://www.informatica.si/index.php/informatica/article/view/3829 Finding Influential Users in Social Networking using Sentiment Analysis Informatica

Instagram

mar_antaya ยท Original audio mar_antaya ยท Original audio...

https://www.instagram.com/reel/DGzHgO-yGBV/ Instagram