Semantic vs Sentiment Analysis by Networked Insights
by Networked Insights on Apr 20, 2011
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For years "sentiment" has been a popular metric for showing whether customers like or dislike a company’s products and services. But in the social media era, sentiment really doesn't tell you much ...
For years "sentiment" has been a popular metric for showing whether customers like or dislike a company’s products and services. But in the social media era, sentiment really doesn't tell you much -- especially when, on average, only one out of four posts indicates sentiment. This is a real problem when you’re wading through tens or hundreds of thousands of posts, trying to figure out how people feel about your company. You miss a lot of clues about what people are really saying and feeling.
An alternative to sentiment analysis is use of semantic analysis. Semantic analysis uncovers and distills the natural structure around mountains of data – blog posts, social network chatter, tweets and more. In fact, a valuable type of semantic analysis is topic discovery: the summarization of large amounts of text by automatically discovering the topics and themes within. Networked Insights’ new Topic Discovery Engine (TDE) is a semantic analysis system finely tuned to discover topics in social media posts. The valuable information that comes from semantic analysis -- quickly and inexpensively -- can drive product development, new revenue streams and strategies for marketing, advertising and media planning.
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