Reading: An analysis of Chinese micro-blogging affective tendencies based on affective dictionaries the road to exploring Master's thesis

1. Constructing an affective dictionary (for a certain field) using the affective inclination point mutual information algorithm (S e m a n t i c O R i e n T a t i o n P o i n T w i S e m u t u a l i n f o r m a t i o n , S o-p M I).

2. To the micro-Bo text preprocessing, and the message text of the emotional Word as a feature selection method, the negation, degree adverbs, exclamation, rhetorical questions, expressions and other analytical processing.

3. Finally, the whole micro-blog message for the weighted calculation to obtain emotional tendencies.

Word Segmentation tool: Based on Lucene for the application of the development of the main body I K a n a l y z e r Chinese Word segmentation system, paoding Chinese word segmentation system, pure C language development of simple Chinese word segmentation system SCWS, the Chinese Academy of Technology, the Institute of Computing Technologies launched a Mandarin lexical analysis system
Ictclas, Harbin University of Technology Information Retrieval Research laboratory developed the I R L A S, in addition to the National University of Peking, Tsinghua University, Beijing Normal University and other institutions also launched a corresponding word segmentation system.