Natural language-based topic and keyword extraction method and system
作者： Yin Jialu , Chen Hong , Ding Wentao
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摘要: The invention discloses a natural language-based topic and keyword extraction method system. comprises the steps of segmenting continuous text into independent words, performing part-of-speech annotation; extracting subject predicate from each sentence subjected to word segmentation; clustering all subject-predicate binary groups, calculating primary clusters related in corpora. By adopting technical scheme, topic-keyword set is obtained based on public opinion dimensionality specific field described, so that good foundation laid for further quantitative analysis sentiments.
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