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2025 IJRTI | Volume 10, Issue 1 January 2025 | ISSN: 24563315SENTIMENT ANALYSIS ON SOCIAL MEDIA POSTS DEEPAN CHANDRU Student Department of Computer Science and Engineering, SRM Institute of Science
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How to fill out sentiment analysis on social

01
Identify the social media platform and data sources you want to analyze.
02
Collect the posts, comments, or mentions from the chosen platform related to your topic.
03
Clean and preprocess the data to remove any irrelevant information or noise.
04
Choose a sentiment analysis tool or algorithm (e.g., Vader, TextBlob, or machine learning models).
05
Run the sentiment analysis tool on your cleaned dataset to classify the sentiment of each text (positive, negative, neutral).
06
Aggregate the results to analyze overall sentiment trends and patterns.
07
Visualize the data using charts or graphs for better interpretation of the sentiment findings.

Who needs sentiment analysis on social?

01
Businesses seeking to understand customer opinions about their products or services.
02
Marketers aiming to gauge brand perception and customer sentiments.
03
Researchers studying public opinion on social issues or events.
04
Political analysts monitoring sentiments during elections or campaigns.
05
Customer service teams looking to improve response strategies based on feedback.
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Sentiment analysis on social refers to the use of natural language processing, text analysis, and computational linguistics to identify and extract subjective information from social media content. It aims to determine the sentiment behind posts, comments, and discussions, classifying them as positive, negative, or neutral.
In a general context, businesses, marketers, and researchers who want to understand public perception and consumer sentiment about their products, brands, or services are involved in conducting sentiment analysis on social media. Additionally, organizations that need to comply with regulatory requirements may also need to file sentiment analysis.
Filling out sentiment analysis on social involves collecting data from social media platforms, using tools or software for sentiment detection, analyzing the collected data to determine the prevailing sentiments, and then summarizing the findings in reports that present the insights effectively.
The purpose of sentiment analysis on social is to gauge public opinion, monitor brand reputation, improve customer engagement, inform marketing strategies, and gain insights into consumer behavior and preferences based on their sentiments expressed on social media.
Reported information in sentiment analysis may include the overall sentiment score, trends over time, key topics and themes identified, demographic insights, and specific instances of positive or negative sentiment regarding products or brands.
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