In order to understand sentiment, you now need to be more focused i.e. narrow your analysis to what people are discussing about the voicing their opinion about the subject of search. If we were to look for Tsumani and Aid, as keywords, in this case your search will return results about organizations providing aid to the victims, any fraud happening in this regard, forums and micro-websites where people are rallying to provide support, their areas of focus and much more. Analyzing this search data and providing an index on the content, the context around the content, the sentiment in the content is the key differentiation of Sentiment as opposed to pure search.
In business speak, sentiment analysis is the expression of a customer or a groups opinion about a product or service that an enterprise is providing. The key business value from understanding Sentiment and beyond include
- Customer Appreciation
- Customer Education
- Customer Connect
- Brand and Reputation Management
- True Market Reach and Presence
- Better ROI from Campaigns and Cross-Sell Opportunities
- Word of Mouth Marketing
Posted March 15, 2011 4:15 PM
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If you take Google.com for example, may be this will redefine 'I feel lucky', where previously it took to you the site directly based on your search keyword, instead of showing your listings.
Its purpose was that Google.com counting on their search algorithm and mainly ranks, would take you directly to the site, based on 'relevance'.
Now, with 'sentiment' in the search intent, I think we should expect the search-engine to 'understand' what we are looking for and take action accordingly.
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On Indexing, you are right - search engines have been aggregating links and information about links (meta-data) based on content, not context.
But this could be a logical extension of a search engine :)