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1
The Emotion Probe: On the Universality of Cross-Linguistic and Cross-Gender Speech Emotion Recognition via Machine Learning
In: Sensors; Volume 22; Issue 7; Pages: 2461 (2022)
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2
Utterance partitioning for speaker recognition: an experimental review and analysis with new findings under GMM-SVM framework
In: ISSN: 1381-2416 ; EISSN: 1572-8110 ; International Journal of Speech Technology ; https://hal.archives-ouvertes.fr/hal-03232723 ; International Journal of Speech Technology, Springer Verlag, In press, ⟨10.1007/s10772-021-09862-8⟩ (2021)
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3
Child Predator Detection in Online Chat Conversation using Support Vector Machine ...
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4
Child Predator Detection in Online Chat Conversation using Support Vector Machine ...
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5
Advancing The Ability To Predict Cognitive Decline and Alzheimer’s Disease Based On Genetic Variants Beyond Amyloid-beta and Tau
In: Master's Projects (2021)
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6
Classifying COVID-19 News on Sina Weibo
Sen, Arunachal. - 2021
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7
Author Identification in Free Texts
Wang, Yahui (Kay). - : Auckland University of Technology, 2020
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8
NeuroVAD: Real-Time Voice Activity Detection from Non-Invasive Neuromagnetic Signals
In: Sensors ; Volume 20 ; Issue 8 (2020)
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9
Automated topographic prominence based quantitative assessment of speech timing in Cerebellar Ataxia
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10
Automatic Pronoun Resolution for Swedish ; Automatisk pronomenbestämning på svenska
Ahlenius, Camilla. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020
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11
Application of Support Vector Machine (SVM) in the Sentiment Analysis of Twitter DataSet
Han; Chien; Chiu...
In: Applied Sciences ; Volume 10 ; Issue 3 (2020)
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12
SVM code for article: Support vector machine based aphasia classification of transcranial magnetic stimulation language mapping in brain tumor patients. ...
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13
SVM code for article: Support vector machine based aphasia classification of transcranial magnetic stimulation language mapping in brain tumor patients. ...
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14
Speech Emotion Recognition: Recurrent Neural Networks compared to SVM and Linear Regression
In: Artificial Neural Networks and Machine Learning – ICANN 2017 ; https://hal.archives-ouvertes.fr/hal-02432632 ; Alessandra Lintas; Stefano Rovetta; Paul F.M.J. Verschure; Alessandro E.P. Villa. Artificial Neural Networks and Machine Learning – ICANN 2017, 10613, Springer International Publishing, pp.451-453, 2019, Lecture Notes in Computer Science ; https://link.springer.com/book/10.1007%2F978-3-319-68600-4?page=2#toc (2019)
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15
Non-Touch Sign Word Recognition Based on Dynamic Hand Gesture Using Hybrid Segmentation and CNN Feature Fusion
In: Applied Sciences ; Volume 9 ; Issue 18 (2019)
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16
Review on Sentiment Analysis of Twitter Data with Some Classifiers Ensembles ...
Smridhi Chawla; , Priya; Anchal Garg. - : Zenodo, 2019
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17
Review on Sentiment Analysis of Twitter Data with Some Classifiers Ensembles ...
Abstract: In the research paper, the focus is on the citizen’s emotions towards different organization, brands, and on the different interests. By Sentimental Analysis on twitter, which give the attractive and speedy way to the people to enjoy the above mentioned different things. Apart from the Sentimental Analysis, the semantic approach is to increase the features and get more accurate results. These are just applying some techniques to differentiate the twitter analysis’s data. By this, the result shows some harmonic score to investigate the positive and negative data. ... : {"references": ["Hassan Saif, Yulan He and Harith Alani.: Knowledge Media Institute, The Open University, United Kingdom", "Speriosu, M., Sudan, N., Upadhyay, S., Baldridge, J.: Twitter polarity classification with labelpropagationoverlexicallinksandthefollowergraph", "Kouloumpis, E., Wilson, T., Moore, J.: Twitter sentiment analysis: Thegood the bad andthe omg", "Barbosa, L., Feng, J.: Robust sentiment detection on twitter from biased and noisy data", "Lei Zhang, RiddhimanGhosh, Mohamed Dekhil, Meichun Hsu, Bing Liu \" Combining Lexicon-based and Learning-based Methods for Twitter Sentiment Analysis\" 2011", "Alexander Pak, Patrick Paroubek \"Twitter as a Corpus for Sentiment Analysis and Opinion Mining\" 2010", "XiaolongWang, Furu Wei, Xiaohua Liu, Ming Zhou, Ming Zhang \"A Graph-based Hashtag Sentiment Classification Approach\" 2011"]} ...
Keyword: http//matjournals.com/Engineering-Journals.html; Twitter, Social Media, Naïve Bayes, SVM
URL: https://dx.doi.org/10.5281/zenodo.2620789
https://zenodo.org/record/2620789
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18
Automatic Recognition of Narrative Drama Units: A Structured Learning Approach
Danilo Croce, Roberto Basili, Vincenzo Lombardo, Eleonora Ceccaldi. - : CEUR-WS.org, 2019. : country:DEU, 2019. : place:Colonia, 2019
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19
Towards accurate detection of offensive language in online communication in Arabic
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20
Estimation of cross-lingual news similarities using text-mining methods
Wang, Zhouhao; Liu, Enda; Ito, Tomoki. - : Basel: MDPI, 2018
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