@article {10.3844/jcssp.2011.1363.1367,
article_type = {journal},
title = {An Automatic Topic Identification Algorithm},
author = {Baghdadi, Hossein Shahsavand and Ranaivo-Malançon, Bali},
volume = {7},
number = {9},
year = {2011},
month = {Jul},
pages = {1363-1367},
doi = {10.3844/jcssp.2011.1363.1367},
url = {https://thescipub.com/abstract/jcssp.2011.1363.1367},
abstract = {Problem statement: Topic is a stream of words which stands for the content of a text.
Knowing the topic of a document can help people to be aware from its content and facilitate their
searching process. Approach: This paper proposes an automatic algorithm to identify the topic for a
textual document based on the chunks corresponding to each sentences in the document. Results
and conclusion: We achieved 86% matching for both total and partial matching in our experimental
data sample.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}