Abstract
With the rapid spread of Chinese microblog, a large number of microblog topics are being generated in real-time. More and more users pay attention to emotion expressions of these opinionated sentences in different topics. It is challenging to label the emotion expressions of opinionated sentences manually. For this endeavor, an emotion expression extraction method is proposed to process millions of user-generated opinionated sentences automatically in this paper. Specifically, the proposed method mainly contains two tasks: emotion classification and opinion target extraction. We first use a lexicon-based emotion classification method to compute different emotion values in emotion label vectors of opinionated sentences. Then emotion label vectors of opinionated sentences are revised by an unsupervised emotion label propagation algorithm. After extracting candidate opinion targets of opinionated sentences, the opinion target extraction task is performed on a random walk-based ranking algorithm, which considers the connection between candidate opinion targets and the textual similarity between opinionated sentences, ranks candidate opinion targets of opinionated sentences. Experimental results demonstrate the effectiveness of algorithms in the proposed method.
Highlights
With the increasing popularity of microblog services, more and more users read microblog messages, express their views, or record their minds via these services
We find non-opinionated sentences according to the six rules above, and additional sentences are considered as opinionated sentences for further emotion expression extraction
All opinionated sentences are represented by the normalized word frequency vector, and their text features are determined by the term frequency-inverse document frequency algorithm
Summary
With the increasing popularity of microblog services, more and more users read microblog messages, express their views, or record their minds via these services. A lot of hot topics, which contain events that happen in real-time, appear in the microblogging site every day, and attract users to read and discuss emotion expressions in them. Emotion expressions refer to opinion targets of opinionated sentences, along with emotions. Researches on Chinese microblog messages usually focus on emotion analysis at a sentence level. For opinionated sentences in different topics, emotions and opinion targets, provide a wealth of messages. It will consume so much time and workforce to label emotions and opinion targets of a large number of opinionated sentences manually. An automatic approach is needed to analyze opinion targets of opinionated microblog sentences along with emotions
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