Challenge on Fine-Grained Sentiment Analysis Within ESWC2016
作者： Mauro Dragoni , Diego Reforgiato Recupero
DOI: 10.1007/978-3-319-46565-4_6
关键词:
摘要: The wide spread of the social media has given users a means to express and share their opinions thoughts on large range topics events. number opinions, emotions, sentiments that are being expressed within grows at an exponential rate; all these data can be exploited in order come up with useful insights, analytics, etc. Initial Sentiment Analysis systems used lexical statistical resources automatically assess polarities sentiment. With raise Semantic Web, it been proved techniques have higher performances if they use semantic features. This generated further opportunities for research domain as well market where key stakeholders need catch latest technology want compelling. Therefore, deep understanding natural language text related semantics urgent matter familiar with. Following first two editions, third edition Fine-Grained challenge aims providing stimulus toward this direction. On one hand, represents event researchers learn methods how employed Semantics Analysis. other offers occasion get idea what is developed headed plan future strategies
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sci-hub.se 参考文章(20)
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