Results 61 to 70 of about 6,292,584 (225)
CLARITY at the TREC 2011 microblog track [PDF]
, 2011 For the first year of the TREC Microblog Track the CLARITY group concentrated on a number of areas, investigating the underlying term weighting scheme for ranking tweets, incorporating query expansion to introduce new terms into the query, as well as ...
Ferguson, Paul +6 more
core
Long-Term Weight Loss Strategies for Obesity
The Journal of Clinical Endocrinology & Metabolism, 2021 Abstract Context Obesity is a chronic disease that is difficult to manage without holistic therapy. The therapeutic armamentarium for obesity primarily consists of 4 forms of therapy: lifestyle modification (ie, diet and exercise), cognitive behavioral therapy, pharmacotherapy, and bariatric surgery.
Karim Kheniser +2 more
openaire +3 more sources
Discriminative Feature Spamming Technique for Roman Urdu Sentiment Analysis
IEEE Access, 2019 Term weighting is one of the most commonly used approaches, which works by assigning weights to terms, that aims to improve the performance of information retrieval or text categorization tasks. In this paper, we present a novel term weighting technique,
Khawar Mehmood +3 more
doaj +1 more source
A NOVEL TERM WEIGHTING SCHEME MIDF FOR TEXT CATEGORIZATION [PDF]
Journal of Engineering Science and Technology, 2010 Text categorization is a task of automatically assigning documents to a set of predefined categories. Usually it involves a document representation method and term weighting scheme.
C. DEISY +4 more
doaj
Metode Pembobotan Berbasis Topik dan Kelas untuk Berita Online Berbahasa Indonesia
Jurnal Linguistik Komputasional, 2018 Clustering of news documents manually depends on the ability and accuracy of the human so that it can lead to errors in the grouping process of documents. Therefore, it is necessary to group the news document automatically.
Maryamah Maryamah +4 more
doaj +1 more source
Time-Weighted Cumulative LSTM Method Using Log Data for Predicting Credit Card Customer Turnover
IEEE Access, 2023 One of the most important challenges for credit card companies is to retain customers. To achieve this, they predict whether customers will use credit cards and respond preemptively through marketing. Improper prediction leads to an increase in marketing
Jinyong Eom, Jaekwang Kim
doaj +1 more source
Investigating cross-language speech retrieval for a spontaneous conversational speech collection [PDF]
, 2006 Cross-language retrieval of spontaneous speech combines the challenges of working with noisy automated transcription and language translation. The CLEF 2005 Cross-Language Speech Retrieval (CL-SR) task provides a standard test collection to investigate ...
Alzghool, Muath +3 more
core +1 more source
Parabolic Weighting Mechanism in Information Retrieval: A Mathematical Analogy to Lenz’s Law
IEEE AccessConventional term-weighting techniques in information retrieval, such as term frequency-inverse document frequency and the probabilistic ranking framework, often place excessive emphasis on extreme term frequencies, which can distort document ranking ...
Krishnan Batri +2 more
doaj +1 more source
T${}^2$K${}^2$: The Twitter Top-K Keywords Benchmark
, 2017 Information retrieval from textual data focuses on the construction of vocabularies that contain weighted term tuples. Such vocabularies can then be exploited by various text analysis algorithms to extract new knowledge, e.g., top-k keywords, top-k ...
A Guille +14 more
core +2 more sources
Leaf segmentation and tracking using probabilistic parametric active contours [PDF]
, 2011 Active contours or snakes are widely used for segmentation and tracking. These techniques require the minimization of an energy function, which is generally a linear combination of a data fit term and a regularization term.
C. Xu +12 more
core +2 more sources