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Titlebook: Computational Linguistics and Intelligent Text Processing; 16th International C Alexander Gelbukh Conference proceedings 2015 Springer Inte

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發(fā)表于 2025-3-25 05:20:13 | 只看該作者
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發(fā)表于 2025-3-25 08:08:59 | 只看該作者
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發(fā)表于 2025-3-25 12:43:03 | 只看該作者
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發(fā)表于 2025-3-25 16:01:50 | 只看該作者
Conference proceedings 2015inion mining and social network analysis; natural language generation and text summarization; information retrieval, question answering, and information extraction; text classification; speech processing; and applications..
25#
發(fā)表于 2025-3-26 00:00:59 | 只看該作者
0302-9743 entiment analysis and emotion detection; opinion mining and social network analysis; natural language generation and text summarization; information retrieval, question answering, and information extraction; text classification; speech processing; and applications..978-3-319-18116-5978-3-319-18117-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
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發(fā)表于 2025-3-26 01:58:44 | 只看該作者
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發(fā)表于 2025-3-26 04:41:48 | 只看該作者
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發(fā)表于 2025-3-26 10:17:29 | 只看該作者
https://doi.org/10.1007/978-3-8348-9050-4es. The potential impact and usefulness of our system are highlighted during a user-based evaluation. Moreover, the new concept and technique introduced in this paper for extracting enduring sentiments from text shows great potential, for instance, in business decision making.
29#
發(fā)表于 2025-3-26 14:26:38 | 只看該作者
30#
發(fā)表于 2025-3-26 16:54:09 | 只看該作者
Herbert Oertel,Martin B?hle,Ulrich Dohrmannn results converge. Experimental results obtained by three different multi-label classifiers on NLP & CC2013 Chinese microblog emotion classification bakeoff dataset demonstrates the effectiveness of our iterative emotion classification approach.
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