Various Mechanisms for understanding Short Text
Main Article Content
Abstract
Now a day’s all people use short text in real life for communication and chatting purpose. Short texts are also uses in news titles, social posts, tweets, conversations, keywords, search queries. Short text understanding is an ambiguous process in opinions, deals, events and private messages. The short text is produce that contain social posts, conversations, keywords and news titles which are limited context and represent the insufficient information or meaning of the text. As short text has more than one meaning, they are difficult to understand as they are ambiguous and noisy. The term can be either single or multi-word. Short texts do not contain sufficient data. Some short texts have unique characteristics. So these short texts are difficult to handle. It required better understand the short text. Semantic analysis is essential to understand the short text accurately. Tasks such as segmentation, part-of-speech tagging, and concept labeling are used for semantic analysis. Conduct short text uses in real life data. The prototype system is built and used to understand the short text. These systems provide the semantic knowledge from knowledge base and collection of written words that are automatically harvest. Creating construction of co-occurrence network showing to better understand for short text.
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