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While sentiment analysis has been popular for domains where authors express their opinion rather explicitly ("the movie is awesome"), such as social media and product reviews, only recently robust methods were devised for other domains where sentiment is strongly implicit or indirect.
TipTop Technologies is a real-time web and social search engine with a platform for semantic analysis of natural language.Tip-Top Search provides results capturing individual and group sentiment, opinions, and experiences there from the content of various sorts such as real-time messages from Twitter or consumer product reviews on Amazon.com. [1]
Similar to text-based sentiment analysis, multimodal sentiment analysis can be applied in the development of different forms of recommender systems such as in the analysis of user-generated videos of movie reviews [6] and general product reviews, [22] to predict the sentiments of customers, and subsequently create product or service ...
NetOwl – suite of multilingual text and entity analytics products, including entity extraction, link and event extraction, sentiment analysis, geotagging, name translation, name matching, and identity resolution, among others. PolyAnalyst - text analytics environment. PoolParty Semantic Suite - graph-based text mining platform.
Sentiment analysis may involve analysis of products such as movies, books, or hotel reviews for estimating how favorable a review is for the product. [33] Such an analysis may need a labeled data set or labeling of the affectivity of words.
Headquartered in San Francisco, Kanjoya's vision was to deliver "empathy through technology." [4] The company's core intellectual property was a significant advance in sentiment analysis enabling real-time recognition of over 100 human emotions in written text, with greater accuracy than could be expected of human analysts.
He is best known for his research on sentiment analysis (also called opinion mining), fake/deceptive opinion detection, and using association rules for prediction. He also made important contributions to learning from positive and unlabeled examples (or PU learning ), Web data extraction, and interestingness in data mining.
The application of sophisticated linguistic analysis to news and social media has grown from an area of research to mature product solutions since 2007. News analytics and news sentiment calculations are now routinely used by both buy-side and sell-side in alpha generation, trading execution, risk management, and market surveillance and compliance.
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