期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：5
页码：12139-12142
出版社：IJECS
摘要：The attention of researchers is directed towards the generation of expressive speech. Hence the text which wouldenter the text-to-speech system must be such that, the sentiment which it encompasses is to be known. So that this sentimentanalyzed text can be then used to synthesize expressive speech. This paper concentrates on identifying and categorizing thesentiment present in text, which is the input to the text-to-speech system, which is the preliminary step for the production ofexpressive speech. The sentence is preprocessed and classification is done using the classifiers and sentiment tagged sentenceis passed as input to the text-to-speech system and text-to-speech system selects the voice based on the sentiment and convertstext to expressive speech. The twitter corpus is used as the dataset for training and testing the classifier because of its affectbased expressiveness.
关键词：Sentiment Analysis; Text-To-Speech System; Natural Language Processing; Expressive Speech;Opinion Mining
