Text Summarization is condensing the source text into a shorter version preserving its
information content and overall meaning. It is very difficult for human beings to manually …

A document's keywords provide high-level descriptions of the content that summarize the
document's central themes, concepts, ideas, or arguments. These descriptive phrases make …

In this paper, we present a novel approach for semiautomatic question generation to support
academic writing. Our system first extracts key phrases from students' literature review …

• Other approaches: Other approaches about keyword extraction mainly combines the
methods mentioned above or use some heuristic knowledge in the task of keyword …

Current digital libraries suffer from the information overload problem which prevents an
effective access to knowledge. This is particularly true for scientific digital libraries where a …

Unsupervised keyphrase extraction techniques generally consist of candidate phrase
selection and ranking techniques. Previous studies treat the candidate phrase selection and …

We propose a new evaluation strategy for keyphrase extraction based on approximate
keyphrase matching. It corresponds well with human judgments and is better suited to …

Collaborative tagging represents for the Web a potential way for organizing and sharing
information and for heightening the capabilities of existing search engines. However …

Textual information is constantly increasing. With this accumulation of documents, the
satisfaction of user needs becomes more and more complex. For that, several information …

This paper presents algorithms for topic analysis of news articles. Topic analysis entails
category classification and topic discovery and classification. Dealing with news has special …