Carleton University - School of Computer Science Honours Project
Winter 2017
Automatic Text Summarization for English Language
Dabeluchi Ndubisi
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In this day and age with a vast stream of information, most of the data around us are in the form of text. Textual summarization has become a necessity in order to provide more compact information to users, thereby eliminating the need to read more text than is required. This report provides a comprehensive overview of the problem and methods of textual summarization as it pertains to English language. For this project, two extractive summarization techniques were implemented, and compared with each other (along with other summarization engines publicly available) to discover the relationships, di erences, strengths and weaknesses of these summarization techniques on the various data that they summarized. Consequentially, a summarization engine was also created and made publicly available on the web.