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Sentiment Analysis and Knowledge Discovery in Contemporary Business
Sentiment Analysis and Knowledge Discovery in Contemporary Business
Knygos.lt klubas Knygos.lt nariams
265,36 €
-30%
Įprastai
379,09 €
  • Išsiųsime per 12–18 d.d.
In the era of social connectedness, people are becoming increasingly enthusiastic about interacting, sharing, and collaborating through online collaborative media. However, conducting sentiment analysis on these platforms can be challenging, especially for business professionals who are using them to collect vital data. Sentiment Analysis and Knowledge Discovery in Contemporary Business is an essential reference source that discusses applications of sentiment analysis as well as data mining, ma…
  • Leidėjas:
  • ISBN-10: 1522587853
  • ISBN-13: 9781522587859
  • Formatas: 21.6 x 27.9 x 1.9 cm, minkšti viršeliai
  • Kalba: Anglų

Sentiment Analysis and Knowledge Discovery in Contemporary Business (el. knyga) (skaityta knyga) | knygos.lt

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In the era of social connectedness, people are becoming increasingly enthusiastic about interacting, sharing, and collaborating through online collaborative media. However, conducting sentiment analysis on these platforms can be challenging, especially for business professionals who are using them to collect vital data. Sentiment Analysis and Knowledge Discovery in Contemporary Business is an essential reference source that discusses applications of sentiment analysis as well as data mining, machine learning algorithms, and big data streams in business environments. Featuring research on topics such as knowledge retrieval and knowledge updating, this book is ideally designed for business managers, academicians, business professionals, researchers, graduate-level students, and technology developers seeking current research on data collection and management to drive profit.

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  • Leidėjas:
  • ISBN-10: 1522587853
  • ISBN-13: 9781522587859
  • Formatas: 21.6 x 27.9 x 1.9 cm, minkšti viršeliai
  • Kalba: Anglų

In the era of social connectedness, people are becoming increasingly enthusiastic about interacting, sharing, and collaborating through online collaborative media. However, conducting sentiment analysis on these platforms can be challenging, especially for business professionals who are using them to collect vital data. Sentiment Analysis and Knowledge Discovery in Contemporary Business is an essential reference source that discusses applications of sentiment analysis as well as data mining, machine learning algorithms, and big data streams in business environments. Featuring research on topics such as knowledge retrieval and knowledge updating, this book is ideally designed for business managers, academicians, business professionals, researchers, graduate-level students, and technology developers seeking current research on data collection and management to drive profit.

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