TY  - JOUR
AU  - Baghdadi, Hossein Shahsavand 
AU  - Ranaivo-Malançon, Bali 
PY  - 2011
TI  - An Automatic Topic Identification Algorithm
JF  - Journal of Computer Science
VL  - 7
IS  - 9
DO  - 10.3844/jcssp.2011.1363.1367
UR  - https://thescipub.com/abstract/jcssp.2011.1363.1367
AB  - 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.