TY  - JOUR
T1  - Automatic Keyphrase Extraction Using Probabilistic Prediction
AU - , S.M. Rafizul Haque AU - , Khalid Al Mustansir Billah AU - , Md. Mahamudul Haque 
JO  - Asian Journal of Information Technology
VL  - 5
IS  - 4
SP  - 402
EP  - 407
PY  - 2006
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2006.402.407
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2006.402.407
KW  - Keyphrase extraction
KW  -semantic coherence
KW  -probabilistic index
AB  - This study proposes an approach to Automatic Keyphrase Extraction depending on the semantic
coherence between the phrases in a document. The approach uses a probabilistic index added to existing
measures to predict the occurrence of keyphrases before the processing. The approach is suitable for both
single and multiple word phrases and uses the measures of semantic coherence and baseline metrics to calculate
the relative weights for the phrases as well as using a probabilistic measure introduced to improve performance.
This probabilistic measure is intended to reduce the complexity of identifying a keyphrase considering its
likeliness to occur in an index position.
ER  -