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Sentiment analysis: Measuring sentiment strength of call centre conversations

机译:情感分析:衡量呼叫中心对话的情感强度

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Measuring sentiment strength can be considered as one of the key areas of sentiment analysis. The existing sentiment word scoring functions are based on the intensity of adjectives in the sentences. To date, there is a very minimal work has been done for measuring sentiment strength based on adverb and adjective combinations. This research proposes a sentiment word scoring method considering the adverb-adjective combinations of a given sentence. This is subject oriented hence this approach is proposed for a call centre domain. We use the linguistic analysis of adverbs of degree to satisfy the adverb-adjective scoring. Then a new approach has been introduced to calculate the sentence wise sentiment score by enhancing the existing sentence level sentiment scoring algorithm. Authors propose the way of determining the total sentiment strength of a given sentence. We describe the results of our experiments on set of 100 call centre conversation audio files between the call centre agent and customer and compare our algorithms with the existing sentiment scoring algorithms. It can be concluded that these enhancements have an accuracy of 74% in precision.
机译:测量情绪强度可以被认为是情感分析的关键领域之一。现有的情绪字评分功能基于句子中的形容词的强度。迄今为止,已经基于副词和形容词组合测量情绪强度进行了非常少的工作。考虑到给定句子的副词形容词组合,提出了一种情绪词评分方法。这是主题导向,因此提出了呼叫中心域的方法。我们使用学位副词的语言分析来满足副词形容词评分。然后,已经引入了一种新的方法来计算句子明智的情绪评分,通过提高现有的句子级情绪评分评分算法。作者提出了确定给定句子的总情感强度的方式。我们描述了在呼叫中心代理和客户之间的100个呼叫中心对话音频文件上的实验结果,并将我们的算法与现有的情感评分算法进行比较。可以得出结论,这些增强精度的精度为74%。

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