融合语义关联挖掘的文本情感分析算法研究

Text Sentiment Analysis Algorithm Combining with Semantic Association Mining

面对网络中日益丰富的文本性情感信息资源,利用关联挖掘技术对其进行智能化的自动挖掘与分析,获取语义层面的用户情感知识,对于企业竞争策略的制定和竞争优势的保持具有重要的潜在价值。将关联挖掘技术融入文本情感分析之中,研究并设计一种融合语义关联挖掘的文本情感分析算法,实现语义层面的情感分析与用户情感知识挖掘。实验结果表明,该算法取得了很好的预期效果,显著提高了情感分析的准确率与效率以及关联挖掘的深度与广度。

Facing the enriching textual sentiment information resources in the network, utilizing association mining technology to mine and analyse them automatically and intelligently to obtain user sentiment knowledge at semantic level has an important potential value for enterprise to formulate competitive strategies and keep competitive advantage. This paper integrates association mining technology into text sentiment analysis, researches and designs the text sentiment analysis algorithm combining with semantic association mining to realize sentiment analysis and user sentiment knowledge mining at semantic level. Experiment results demonstrate that this algorithm a- chieves a good expected effect. It dramatically improves the accuracy and efficiency of sentiment analysis and the depth and width of as- sociation mining.