Sentence examples for retrieval text from inspiring English sources

The field of natural language processing is developing a new concentration on interpreting extended texts, with applications in information retrieval, text categorization, and data extraction.

The areas of Information Retrieval, Text Mining and Document ranking are in fact very active research areas.

Application of LSA: information filtering, document index, video retrieval, text classification and clustering, image retrieval, information extraction, and so on.

Unfortunately, the book fails to be a complete search engine guide as its content is dominated by the topics from information retrieval, text processing, and statistics.

Biclustering problems arise in DNA microarray data analysis, collaborative filtering, market research, information retrieval, text mining, electoral trends, exchange analysis, and so forth.

His interests are mostly in Natural Language Processing, working on a wide range of topic areas, including information retrieval, text classification, topic modeling, key phrase extraction, text segmentation, sentiment analysis, text summarization, and document clustering.

Text document classification is a well known theme in the field of the information retrieval and text mining.

Supporting Internet access to selected Web sites, interactive games, information retrieval, and text messaging, iMode became extremely successful; within three years of its introduction, more than 35 million users in Japan had iMode-enabled cell phones.

In this paper a system based on information retrieval and text mining methods is presented.

These terminological units also are important for building computational tasks (such as information retrieval and text classification).

5Tf-idf reflects the importance of a word in a collection or corpus, and it is often used as a weighting factor in information retrieval and text mining.