Affect Computation of Chinese Short Text

LCSTS: A Large Scale Chinese Short Text Summarization Dataset

Automatic text summarization is widely regarded as the highly difficult problem, partially because of the lack of large text summarization data set. Due to the great challenge of constructing the large scale summaries for full text, in this paper, we introduce a large corpus of Chinese short text summarization dataset constructed from the Chinese microblogging website Sina Weibo, which will be ...

Chinese Short Text Classification Based on Domain Knowledge

People are generating more and more short texts. There is an urgent demand to classify short texts into different domains. Due to the shortness and sparseness of short texts, conventional methods based on Vector Space Model (VSM) have limitations. To tackle the data scarcity problem, we propose a new model to directly measure the correlation between a short text instance and a domain instead of...

Affect in Text and Speech

Similarity Calculation Method of Chinese Short Text Based on Semantic Feature Space

In order to improve the accuracy of short text similarity calculation, this paper presents the idea that use the history of short text messages to construct semantic feature space, then use the vector in semantic feature space to represent short text and do semantic extension, and finally calculate the short text similarity of corresponding vector in the semantic feature space. This method can ...

Chinese affect circumplex: I. Structure of recalled momentary affect

The structure of momentary affect among Cantonese-speaking Chinese was explored by developing questionnaire scales in four response formats. Scales can be scored for dimensions defined by Feldman Barrett and Russell; Thayer; Larsen and Diener; and Watson and Tellegen. In a study of recalled affect (N = 487), the newly translated scales were found to support all but Watson and Tellegen’s structu...