| 书目名称 | Opinion Mining in Information Retrieval | | 编辑 | Surbhi Bhatia,Poonam Chaudhary,Nilanjan Dey | | 视频video | | | 概述 | Addresses the combination of NLP and deep learning theories to solve and optimize the problem of classifying sentiments and to develop an efficient opinion-analysis system.Discusses in detail the late | | 丛书名称 | SpringerBriefs in Applied Sciences and Technology | | 图书封面 |  | | 描述 | .This book discusses in detail the latest trends in sentiment analysis,focusing on “how online reviews and feedback reflect the opinions of users and have led to a major shift in the decision-making process at organizations.” Social networking has become essential in today’s society. In the past, people’s decisions to buy certain products (and companies’ efforts to sell them) were largely based on advertisements, surveys, focus groups, consultants, and the opinions of friends and relatives. But now this is no longer limited to one’s circle of friends, family or small surveys;it has spread globally to online social media in the form of blogs, posts, tweets, social networking sites, review sites and so on...Though not always easy, the transition from surveys to social media is certainly lucrative. Business analytical reports have shown that many organizations have improved their sales, marketing and strategy, setting up new policies and making decisions based on opinion mining techniques. . | | 出版日期 | Book 2020 | | 关键词 | Opinion Mining; Text Mining; Information Retrieval; Opinion Classification; Opinion Summarization; Aspect | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-15-5043-0 | | isbn_softcover | 978-981-15-5042-3 | | isbn_ebook | 978-981-15-5043-0Series ISSN 2191-530X Series E-ISSN 2191-5318 | | issn_series | 2191-530X | | copyright | The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020 |
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发表于 2025-3-21 19:33:40
