Results 181 to 190 of about 6,292,584 (225)
Some of the next articles are maybe not open access.
Term Weighting for Feature Extraction on Twitter: A Comparison Between BM25 and TF-IDF
2019 International Conference on Advanced Science and Engineering (ICOASE), 2019Feature extraction is to transform a text document from any format into a list of features that can be easily processed by text classification techniques.
Ammar Ismael Kadhim
semanticscholar +1 more source
Gestational weight gain among minority adolescents predicts term birth weight
World Journal of Pediatrics, 2018In adolescents, there is limited evidence on the independent and additive effect of prepregnancy body mass index (BMI) and gestational weight gain on infant birth weight. Data also show that this effect may vary by race. We sought to examine the impact of maternal prepregnancy BMI and gestational weight gain on birth weight and risk of large for ...
Maheswari, Ekambaram +5 more
openaire +2 more sources
Efficiency Implications of Term Weighting for Passage Retrieval
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020Language model pre-training has spurred a great deal of attention for tasks involving natural language understanding, and has been successfully applied to many downstream tasks with impressive results.
J. Mackenzie +3 more
semanticscholar +1 more source
Long-Term Weight Maintenance after an Intensive Weight-Loss Program
Journal of the American College of Nutrition, 1999This prospective study assessed long-term weight maintenance of patients completing an intensive very-low-calorie diet (VLCD) weight-loss program.Individuals who had completed the 12-week core education program and lost > or = 10 kg were recruited.Of 154 eligible subjects, follow-up weights were obtained at > or = 2 years in 112 subjects (72.7%, 72 ...
J W, Anderson +3 more
openaire +2 more sources
Twitter Sentiment Analysis of Covid-19 Using Term Weighting TF-IDF And Logistic Regresion
IEEE International Conference on Information Theory and Information Security, 2020Covid-19 attack world population, and has brought much impact in all aspects of life. Stay at home and doing less in terms of social interactions. This can have a negative effect on mental health, so in this study we use sentiment analysis to know about ...
Imamah, Fika Hastarita Rachman
semanticscholar +1 more source
Refining term weights of documents using term dependencies
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, 2004When processing raw documents in Information Retrieval (IR) System, a term-weighting scheme is used to calculate the importance of each term which occurs in a document. However, most term-weighting schemes assume that a term is independent of the other terms. Term dependency is an indispensable consequence of language use [1].
Hee-soo Kim, Ikkyu Choi, Minkoo Kim
openaire +1 more source
Determinants of long‐term weight maintenance
Acta Paediatrica, 2007AbstractThe aim of this paper is to discuss existing evidence on the determinants of weight maintenance by examining population based studies on weight gain as well as studies on weight loss maintenance.The data shows that disadvantaged groups are less likely to maintain healthy weight, and various social and economic problems starting from early in ...
openaire +2 more sources
Relevance weighting of search terms
Journal of the American Society for Information Science, 1976AbstractThis paper examines statistical techniques for exploiting relevance information to weight search terms. These techniques are presented as a natural extension of weighting methods using information about the distribution of index terms in documents in general.
S. E. Robertson, K. Sparck Jones
openaire +1 more source
Feature Selection and Term Weighting
2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2014Term-based approaches can extract many features in text documents, but most include noise. Many popular text-mining techniques have been adapted to reduce noisy information from extracted features but still contains some noises features. However, the noise features are extracted from the same training documents that good features extracted from ...
Abdulmohsen Algarni, Nasser Tairan
openaire +1 more source
Exploring coherent topics by topic modeling with term weighting
Information Processing & Management, 2018Topic models often produce unexplainable topics that are filled with noisy words. The reason is that words in topic modeling have equal weights. High frequency words dominate the top topic word lists, but most of them are meaningless words, e.g., domain ...
Ximing Li +4 more
semanticscholar +1 more source