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IEEE Access, 2021 Sarcasm identification on text documents is one of the most challenging tasks in natural language processing (NLP), has become an essential research direction, due to its prevalence on social media data.
Aytug Onan, Mansur Alp Tocoglu
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Long-term weight loss maintenance [PDF]
The American Journal of Clinical Nutrition, 2005 There is a general perception that almost no one succeeds in long-term maintenance of weight loss. However, research has shown that approximately 20% of overweight individuals are successful at long-term weight loss when defined as losing at least 10% of initial body weight and maintaining the loss for at least 1 y. The National Weight Control Registry
Rena R, Wing, Suzanne, Phelan
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Predictors of Long‐term Weight Maintenance [PDF]
Obesity Research, 2005 AbstractObjective: The purpose of this study was to evaluate available variables of a long‐term weight maintenance study to investigate possible factors predisposing to weight regain after a period of weight loss.Research Methods and Procedures: The Maastricht Weight Maintenance Study is an ongoing longitudinal study of healthy men and women (29 men ...
Vogels, N. +2 more
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On Term Weighting for Spam SMS Filtering
Sakarya University Journal of Computer and Information Sciences, 2020 Due to rapid development of the technology, the usage of mobile telephones and short message services (SMS) have become widespread. Thus, the number of spam SMS messages has dramatically increased and the significance of identifying and filtering of ...
Turgut Dogan
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Keypoints class distribution based entropy for weighting scheme on image classification
Journal of King Saud University: Computer and Information Sciences, 2022 In bag-of-visual words (BoVW), a weighting scheme is applied to improve the discriminative power of visual words, which affect the performance of image classification. However, the weighting schemes in the BoVW model did not utilize the information class
Pulung Nurtantio Andono +1 more
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Komparasi Term Weighting dan Word Embedding pada Klasifikasi Tweet Pemerintah Daerah
Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 2020 Munculnya media sosial mendorong pemerintah untuk memanfaatkan media sosial sebagai sarana penyebaran informasi. Informasi yang diberikan haruslah bermanfaat bagi masyarakat dalam rangka meningkatkan hubungan government to citizen.
Pande Made Risky Cahya Dinatha +1 more
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Context-Aware Term Weighting For First Stage Passage Retrieval
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020 Term frequency is a common method for identifying the importance of a term in a document. But term frequency ignores how a term interacts with its text context, which is key to estimating document-specific term weights.
Zhuyun Dai, Jamie Callan
semanticscholar +1 more source
A probabilistic justification for using tf.idf term weighting in information retrieval [PDF]
, 2000 This paper presents a new probabilistic model of information retrieval. The most important modeling assumption made is that documents and queries are defined by an ordered sequence of single terms.
Hiemstra, D.
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Extending weighting models with a term quality measure [PDF]
, 2007 Weighting models use lexical statistics, such as term frequencies, to derive term weights, which are used to estimate the relevance of a document to a query.
Lioma, C., Ounis, I.
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Context-Aware Document Term Weighting for Ad-Hoc Search
The Web Conference, 2020 Bag-of-words document representations play a fundamental role in modern search engines, but their power is limited by the shallow frequency-based term weighting scheme.
Zhuyun Dai, Jamie Callan
semanticscholar +1 more source