The tremendous growth of the social networks has paved way for social interactions of investing communities about a company’s stock performance. Web 2.0 platforms give people more power over the way they share information and exchange stock opinions. Investors are able to share their comments on stocks using the social media platforms. These interactions are captured and mined to produce advice on investing which helps retail investors to do prospective investments to increase profits. This book proposes a novel stock recommendation methodology using Bio-inspired Computing Techniques. This method extracts sentiments from the investor’s stock reviews crawled from Twitter and performs the sentiment analysis, which is optimized by the Bio-Inspired Computing Techniques.
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Destinazione, tempi e costiDa: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 152 pp. Englisch. Codice articolo 9786207647262
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The tremendous growth of the social networks has paved way for social interactions of investing communities about a company's stock performance. Web 2.0 platforms give people more power over the way they share information and exchange stock opinions. Investors are able to share their comments on stocks using the social media platforms. These interactions are captured and mined to produce advice on investing which helps retail investors to do prospective investments to increase profits. This book proposes a novel stock recommendation methodology using Bio-inspired Computing Techniques. This method extracts sentiments from the investor's stock reviews crawled from Twitter and performs the sentiment analysis, which is optimized by the Bio-Inspired Computing Techniques.Books on Demand GmbH, Überseering 33, 22297 Hamburg 152 pp. Englisch. Codice articolo 9786207647262
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Paperback. Condizione: new. Paperback. The tremendous growth of the social networks has paved way for social interactions of investing communities about a company's stock performance. Web 2.0 platforms give people more power over the way they share information and exchange stock opinions. Investors are able to share their comments on stocks using the social media platforms. These interactions are captured and mined to produce advice on investing which helps retail investors to do prospective investments to increase profits. This book proposes a novel stock recommendation methodology using Bio-inspired Computing Techniques. This method extracts sentiments from the investor's stock reviews crawled from Twitter and performs the sentiment analysis, which is optimized by the Bio-Inspired Computing Techniques. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9786207647262
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Da: Biblios, Frankfurt am main, HESSE, Germania
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