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Important bioactives carnitine and betaine in milk and dairy products: a systematic review based on text mining and topic analysis. [PDF]
Food Sci Anim ResourTrapanese L +7 more
europepmc +1 more source
Health hazards associated with LNG tank truck transportation accidents in China: a text-mining analysis of accident reports and risk-management implications. [PDF]
Front Public HealthLi N, Tang Y, Zhao J.
europepmc +1 more source
KNN With TF-IDF Based Framework for Text Categorization
Procedia Engineering, 2014 KNN is a very popular algorithm for text classification. This paper presents the possibility of using KNN algorithm with TF-IDF method and framework for text classification. Framework enables classification according to various parameters, measurement and analysis of results.
Bruno Trstenjak
exaly +2 more sources
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Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, 2008
Interpretations of TF-IDF are based on binary independence retrieval, Poisson, information theory, and language modelling. This paper contributes a review of existing interpretations, and then, TF-IDF is systematically related to the probabilities P(q|d) and P(d|q). Two approaches are explored: a space of independent, and a space of disjoint terms. For
Thomas Roelleke, Jun Wang 0032
openaire +1 more source
Interpretations of TF-IDF are based on binary independence retrieval, Poisson, information theory, and language modelling. This paper contributes a review of existing interpretations, and then, TF-IDF is systematically related to the probabilities P(q|d) and P(d|q). Two approaches are explored: a space of independent, and a space of disjoint terms. For
Thomas Roelleke, Jun Wang 0032
openaire +1 more source
Sentiment Enhanced Hybrid TF-IDF for Microblogs
2014 IEEE Fourth International Conference on Big Data and Cloud Computing, 2014As the usage of social networks grows day by day, a single person can reach hundreds or thousands of people in a minute. Micro blogging is the new era of social communication, which can be used anywhere thanks to mobile phones. People spend hours and use social networks extensively, expressing their feelings, interests and dislikes. If this data can be
Atakan Simsek, Pinar Karagoz
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