OPINION MINING/SENTIMENT ANALYSIS
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OPINION MINING/SENTIMENT ANALYSIS
Chapter One: Introduction:
Background of the study
Sentiment analysis analyses text from multiple sources, including comments, blogs, review aggregation sites, and social media, to assess opinions about products, services, or domains like movie reviews.
The goal is to identify ideas, feelings, and sentiments within the text. The text’s sentiment is categorised as good or negative, recommended (thumbs up) or not recommended (thumbs down), and rated from 1 to 5 stars.
Amazon1, for example, uses star ratings.
Sentiment analysis can help brands monitor blogger feedback on new products or services. As more consumers shop online, they often rely on customer reviews to make purchasing decisions.
Five-star products are more preferred than two-star products. Tracking customer feedback benefits both the product maker and the consumer.
Sentiment research has applications beyond the consumer products sector. Sentiment analysis can be used to get political opinions of anyone. It could be applied to newspaper articles or editorials. Applying this to various news sources might reveal diverse perspectives in the media.
This information can be used for targeted advertising. Businesses may track new product perception, spot flames, and assess overall brand perception.
Www.amazon.com/uk
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