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Titlebook: A Practical Guide to Sentiment Analysis; Erik Cambria,Dipankar Das,Antonio Feraco Book 2017 Springer International Publishing AG 2017 Sent

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發(fā)表于 2025-3-21 19:26:39 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱A Practical Guide to Sentiment Analysis
影響因子2023Erik Cambria,Dipankar Das,Antonio Feraco
視頻videohttp://file.papertrans.cn/142/141825/141825.mp4
發(fā)行地址Bridges the gap between the manifestations of practical Sentiment analysis and its fundamental and theoretical aspects by inviting qualitative and quantitative studies from computational linguistics.W
學(xué)科分類Socio-Affective Computing
圖書封面Titlebook: A Practical Guide to Sentiment Analysis;  Erik Cambria,Dipankar Das,Antonio Feraco Book 2017 Springer International Publishing AG 2017 Sent
影響因子Sentiment analysis research has been started long back and recently it is one of the demanding research topics.? Research activities on Sentiment Analysis in natural language texts and other media are gaining ground with full swing. But, till date, no concise set of factors has been yet defined that really affects how writers’ sentiment i.e., broadly human sentiment is expressed, perceived, recognized, processed, and interpreted in natural languages. The existing reported solutions or the available systems are still far from perfect or fail to meet the satisfaction level of the end users. The reasons may be that there are dozens of conceptual rules that govern sentiment and even there are possibly unlimited clues that can convey these concepts from realization to practical implementation. Therefore, the main aim of this book is to provide a feasible research platform to our ambitious researchers towards developing the practical solutions that will be indeed beneficial for our society,business and future researches as well.
Pindex Book 2017
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發(fā)表于 2025-3-21 21:29:34 | 只看該作者
https://doi.org/10.1007/3-540-33278-2 rich set of inter-related sub-problems, but also a common framework that can unify existing research directions. They also help researchers design more robust solution techniques by exploiting the inter-relationships of the sub-problems.
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發(fā)表于 2025-3-22 19:06:38 | 只看該作者
2509-5706 ve and quantitative studies from computational linguistics.WSentiment analysis research has been started long back and recently it is one of the demanding research topics.? Research activities on Sentiment Analysis in natural language texts and other media are gaining ground with full swing. But, ti
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發(fā)表于 2025-3-22 21:50:31 | 只看該作者
https://doi.org/10.1007/3-540-33278-2ummaries in a variety of flavors depending on the difficulty of the use case. This chapter talks about the available set of techniques to generate summaries from different genres of social media text with an extensive introduction to extractive summarization techniques.
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發(fā)表于 2025-3-23 05:10:14 | 只看該作者
https://doi.org/10.1007/3-540-33278-2 valence of multi-word expressions and, hence, represent it in a machine-accessible and machine-processable format. This chapter presents an overview of the most recent sentic computing tools and techniques, with particular focus on applications in the context of big social data analysis.
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發(fā)表于 2025-3-23 06:07:47 | 只看該作者
Reflections on Sentiment/Opinion Analysis,ilen zusammenführen. Das Ziel ist es, Hinweise für die gezielte Qualit?tsverbesserung der Produkte zu erhalten..Diese beiden Beispiele deuten an, wie wichtig Qualit?tsinformationen für Pr?vention und Reaktion im Qualit?tsmanagement sind. In diesem Kapitel sollen Qualit?tsdaten und -informationen sow
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