Results 191 to 200 of about 6,292,584 (225)

A probabilistic model derived term weighting scheme for text classification

Pattern Recognition Letters, 2018
Term weighting is known as a text presentation strategy to assign appropriate value to each term to improve the performance of text classification in the task of transforming the content of textual document into a vector in the term space.
Guozhong Feng, Shaoting Li, Tieli Sun, Bangzuo Zhang   +3 more
semanticscholar   +1 more source

Relation Based Term Weighting Regularization

2012
Traditional retrieval models compute term weights based on only the information related to individual terms such as TF and IDF. However, query terms are related. Intuitively, these relations could provide useful information about the importance of a term in the context of other query terms.
Hao Wu, Hui Fang
openaire   +1 more source

Intent Term Weighting in E-commerce Queries

International Conference on Information and Knowledge Management, 2019
E-commerce search engines can fail to retrieve results that satisfy a query's product intent because: (i) conventional retrieval approaches, such as BM25, may ignore the important terms in queries owing to their low "inverse document frequency" " (IDF ...
Saurav Manchanda, Mohit Sharma, G. Karypis   +2 more
semanticscholar   +1 more source

Domain Relevance on Term Weighting

2007
The TFxIDF term weighting scheme is the standard approach on vectorization of textual data. For a data set where textual data stemming from web document structure is to be vectorized [2] the need for a enhanced term weighting scheme arose. In this publication we introduce a term weighting scheme which improves the behavior compared to the traditional ...
Marko Brunzel, Myra Spiliopoulou
openaire   +1 more source

On entropy-based term weighting schemes for text categorization

Knowledge and Information Systems, 2021
Tao Wang, Y. Cai, Ho-fung Leung, Raymond Y. K. Lau, Haoran Xie, Qing Li   +5 more
semanticscholar   +1 more source

[Long term weight loss maintenance].

Revue medicale suisse, 2010
A successful weight loss program leads to a new metabolic and endocrine balance that needs new long term management. Recent researches have shown some predictors as well as some barriers of the long term weight management. Predictors and barriers are linked to the lost weight, to the subject's habits and to the patient's psychosocial sphere. During the
V, Makoundou, F, Habicht, E, Bobbioni-Harsch, Z, Pataky, A, Golay   +4 more
openaire   +1 more source

An improved term weighting method based on relevance frequency for text classification

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2021
Chuanxiao Li, Wenqiang Li, Zhong-Sen Tang, Song Li, Hai Xiang   +4 more
semanticscholar   +1 more source

Transforming sentiment analysis for e-commerce product reviews: Hybrid deep learning model with an innovative term weighting and feature selection

Information Processing & Management
Punithavathi Rasappan, Premkumar Manoharan, Garima Sinha, Kumar Chandrasekaran   +3 more
semanticscholar   +1 more source

Term weighting scheme for short-text classification: Twitter corpuses

Neural computing & applications (Print), 2019
Issa M. Alsmadi, Gan Keng Hoon
semanticscholar   +1 more source

An improved supervised term weighting scheme for text representation and classification

Expert Systems With Applications, 2022
Zhong Tang, Wen-Qiang Li, Yan Li
exaly