Results 21 to 30 of about 6,614,488 (283)
Coping with the Document Frequency Bias in Sentiment Classification
Proceedings of the International AAAI Conference on Web and Social Media, 2021 In this article, we study the polarity detection problem using linear supervised classifiers. We show the interest of penalizing the document frequencies in the regularization process to increase the accuracy. We propose a systematic comparison of different loss and regularization functions on this particular task using the Amazon ...
Rafrafi, Abdelhalim +2 more
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Why inverse document frequency? [PDF]
Second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies 2001 - NAACL '01, 2001 Inverse Document Frequency (IDF) is a popular measure of a word's importance. The IDF invariably appears in a host of heuristic measures used in information retrieval. However, so far the IDF has itself been a heuristic. In this paper, we show IDF to be optimal in a principled sense.
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Vibration attenuation and dexterity of different types of protective gloves
环境与职业医学, 2022 BackgroundWearing anti-vibration gloves is a simple and effective way to prevent hand-arm vibration disease. The requirements for vibration damping gloves are varied by types of operations exposed to vibration.ObjectiveTo study the vibration attenuation ...
Bin XIAO +8 more
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Finding Inverse Document Frequency Information in BERT
CoRR, 2022 For many decades, BM25 and its variants have been the dominant document retrieval approach, where their two underlying features are Term Frequency (TF) and Inverse Document Frequency (IDF). The traditional approach, however, is being rapidly replaced by Neural Ranking Models (NRMs) that can exploit semantic features.
Jaekeol Choi +3 more
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The Application of Frequency Offset Advantage (FOA) in Frequency Coordination
, 1979 International Telemetering Conference Proceedings / November 19-21, 1979 / Town and Country Hotel, San Diego, CaliforniaA major telecommunications growth area at this time is narrowband digital transmissions via satellites.
Raghavan, Srini, Armes, Jerry
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Binned Term Count: An Alternative to Term Frequency for Text Categorization
Mathematics, 2022 In text categorization, a well-known problem related to document length is that larger term counts in longer documents cause classification algorithms to become biased.
Farhan Shehzad +5 more
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Conceptual Semantic Model for Web Document Clustering Using Term Frequency
EAI Endorsed Transactions on Energy Web, 2018 Term analysis is the key objective of most of the methods under text mining, here term analysis either refers to a word or a phrase. Determination of the documents subject is another important task to be performed by the semantic based method; this is ...
Dr. N. Krishnaraj +2 more
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Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, 2022 Social media is a common thing that people use. Posts or comments found on social media describe someone’s feelings and opinions so there have to be important topics that can be extracted from social media.
Satyawan Agung Nugroho +2 more
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Comprehension of polarity of articles by citation sentiment analysis using TF-IDF and ML classifiers [PDF]
PeerJ Computer Science, 2022 Sentiment analysis has been researched extensively during the last few years, however, the sentiment analysis of citations in a research article is an unexplored research area. Sentiment analysis of citations can provide new applications in bibliometrics
Musarat Karim +6 more
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Sentiment Analysis and Twitter Social Media Visualization Regarding the Omnibus Law Draft
CoreID Journal, 2023 This study will classify Twitter users' positive and negative opinions about the omnibus method using a frequency-inverse document frequency algorithm and a multi-layer perceptron method.
Fadli Emsa Zamani
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