A novel technique for multidocument Hindi text summarization

A text summary is a reduction of original text to summarized text by selecting what is important in the source. Over a period of years the World Wide Web has expanded so that tremendous amount of data is created and available online. Text summarization is needed when people want a gist of a particular topic from one or more sources of information available online. Taking into consideration the above problem a novel technique for multi document, extractive text summarization is proposed. Also considering the common language in India being Hindi, a summarizer for the same language is built. News articles on sports and politics from online Hindi newspapers were used as input to the system. Fuzzy inference engine was used for the extraction process using eleven important features of the text. The system achieves an average precision of 73% over multiple Hindi documents.

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