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International Journal of Recent Technology and Engineering (IJ RTE) ISSN: 22773878 (Online), Volume9 Issue1, May 2020Opinion Mining and Trend Analysis on Twitter Data Anuj Kumar, Hospital S Kansas,
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How to fill out opinion mining and trend

01
Gather data from various sources such as social media, surveys, reviews, etc.
02
Preprocess the data by cleaning, tokenizing, and removing noise.
03
Use sentiment analysis techniques to determine the positive, negative, or neutral sentiments in the text.
04
Apply data mining algorithms to identify patterns and trends in the opinions expressed.
05
Visualize the results to understand the overall sentiment and trends.

Who needs opinion mining and trend?

01
Companies looking to understand customer feedback and sentiments towards their products or services.
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Marketers wanting to analyze trends and opinions in the market to make informed decisions.
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Researchers studying public opinion on various topics.
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Policymakers interested in gauging public sentiment on government policies.
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Opinion mining and trend is the process of analyzing data to determine the sentiment and trends related to a specific topic or subject.
Companies and organizations that are conducting research or analysis on public opinion and trends are required to file opinion mining and trend reports.
To fill out opinion mining and trend reports, companies must gather data from various sources, analyze the information, and then report their findings in a comprehensive report.
The purpose of opinion mining and trend is to understand public sentiment and trends towards a specific topic, product, or service.
Companies must report the methodologies used for data collection, the analysis process, and the insights gained from the data.
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