@article{MAKHILLAJIT2006545108,
    title = {Automatic Keyphrase Extraction Using Probabilistic Prediction},
    journal = {Asian Journal of Information Technology},
    volume = {5},
    number = {4},
    pages = {402-407},
    year = {2006},
    issn = {1682-3915},
    doi = {ajit.2006.402.407},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2006.402.407},
    author = {S.M. Rafizul Haque,Khalid Al Mustansir Billah and},
    keywords = {Keyphrase extraction,semantic coherence,probabilistic index},
    abstract = {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.}
    }