情绪分析
声誉
元数据
社会化媒体
感觉
多样性(控制论)
计算机科学
数据科学
定性分析
舆论
心理学
万维网
情报检索
社会学
定性研究
人工智能
政治学
社会心理学
社会科学
政治
法学
出处
期刊:Advances in e-business research series
日期:2017-01-01
卷期号:: 175-244
被引量:1
标识
DOI:10.4018/978-1-5225-0846-5.ch010
摘要
Sentiment analysis has been used to assess people's feelings, attitudes, and beliefs, ranging from positive to negative, on a variety of phenomena. Several new autocoding features in NVivo 11 Plus enable the capturing of sentiment analysis and extraction of themes from text datasets. This chapter describes eight scenarios in which these tools may be applied to social media data, to (1) profile egos and entities, (2) analyze groups, (3) explore metadata for latent public conceptualizations, (4) examine trending public issues, (5) delve into public concepts, (6) observe public events, (7) analyze brand reputation, and (8) inspect text corpora for emergent insights.
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