| Summary: | 碩士 === 國立聯合大學 === 資訊管理學系碩士班 === 107 === With the increasing popularity of information technology, the development of man-machine interaction technology has much more attention, so more and more people are studying Affective Computing. Thanks to many advanced natural language processing techniques, the sentiment analysis and text emotion recognition have received much attentions from researchers and developers. The use of dictionary has a key impact on the Emotional recognition of text because many of the Emotional recognition techniques of text are based on dictionary. Lexicon Base mainly relies on the existing emotional dictionary for identification, through the emotion dictionary to note the word of different emotions to judge the emotion of the text. However, the emergence of the Internet has brought a lot of convenience, but also brought some influence, such as the birth of new word. So that the social media's text emotional recognition should be able to respond to changes in vocabulary at different times.
This paper use an dictionary-generating techniques to explore the impact on Emotion recognition in community articles. We conduct research on Chinese-language posts on Taiwan's social media and through a dictionary produced by text from different periods to understand the changes in period or regional word, to further assist in translating and understand the meaning of vocabulary in a certain space-time.
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