Customer Intentions Analysis of Twitter Based on Semantic Patterns
نویسندگان
چکیده
Intention analysis over Twitter offer organisations a fast and effective way to monitor the publics’ desires towards their brand, business, directors,etc. A wide range of features and methods for user intention analysis have been researched in recent years. Due to the nature of micro blogs posts, mining user intentions is still a challenging task. In this paper, we introduce a novel method of using semantic patterns and ontologies. Our approach combines natural language syntax and semantics analysis to identify user intention. We conduct a case study of user intentions in the commercial field. Our experimental results show the importance and effectiveness of our proposed approach for detecting customer intentions.
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