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On Term Weighting for Spam SMS Filtering
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
doaj +2 more sources
Balancing between over-weighting and under-weighting in supervised term weighting [PDF]
Show the importance of the trade-off between over-weighting and under-weighting.Propose a revision of add-one smoothing on delta smoothed idf (dsidf).Present three regularization techniques to reduce over-weighting.Propose a new supervised term weighting scheme, regularized entropy (re).
Haibing Wu, Xiaodong Gu
exaly +2 more sources
Numerous earlier studies focused on the term weighting scheme to increase examination question classification accuracy based on Bloom’s Taxonomy (BT).
Mohammed Osman Gani +4 more
doaj +1 more source
Weighted Choquard Equation Perturbed with Weighted Nonlocal Term [PDF]
AbstractWe investigate the following problem $$\begin{aligned} -\mathrm{div}(v(x)|\nabla u|^{m-2}\nabla u)+V(x)|u|^{m-2}u= \left( |x|^{-\theta }*\frac{|u|^{b}}{|x|^{\alpha }}\right) \frac{|u|^{b-2}}{|x|^{\alpha }}u+\lambda \left( |x|^{-\gamma }*\frac{|u|^{c}}{|x|^{\beta }}\right) \frac{|u|^{c-2}}{|x|^{\beta }}u \quad \text { in }{\mathbb {R}}^{N}, \end{
openaire +2 more sources
Perbandingan Metode TF-ABS dan TF-IDF Pada Klasifikasi Teks Helpdesk Menggunakan K-Nearest Neighbor
Distribution of tickets to the destination unit is a very important function in the helpdesk application, but the process of distributing tickets manually by admin officers has drawbacks, namely ticket distribution errors can occur and increase ticket ...
Riza Adrianti Supono +1 more
doaj +1 more source
Hadis adalah sumber rujukan agama Islam kedua setelah Al-Qur’an. Teks Hadis saat ini diteliti dalam bidang teknologi untuk dapat ditangkap nilai-nilai yang terkandung di dalamnya secara pegetahuan teknologi. Dengan adanya penelitian terhadap Kitab Hadis,
Ana Tsalitsatun Ni'mah +1 more
doaj +1 more source
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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A New Feature Selection Scheme for Emotion Recognition from Text
This paper presents a new scheme for term selection in the field of emotion recognition from text. The proposed framework is based on utilizing moderately frequent terms during term selection.
Zafer Erenel +2 more
doaj +1 more source
Short-term variability in body weight predicts long-term weight gain [PDF]
Body weight in lower animals and humans is highly stable despite a very large flux in energy intake and expenditure over time. Conversely, the existence of higher-than-average variability in weight may indicate a disruption in the mechanisms responsible for homeostatic weight regulation.In a sample chosen for weight-gain proneness, we evaluated whether
Michael R, Lowe +3 more
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Detecting Emotion in Indonesian Tweets: A Term-Weighting Scheme Study
Background: Term-weighting plays a key role in detecting emotion in texts. Studies in term-weighting schemes aim to improve short text classification by distinguishing terms accurately.
Kuncahyo Setyo Nugroho +2 more
doaj +1 more source

