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)
|
|
BASE
|
|
Show details
|
|
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)
|
|
BASE
|
|
Show details
|
|
3 |
Child Predator Detection in Online Chat Conversation using Support Vector Machine ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Child Predator Detection in Online Chat Conversation using Support Vector Machine ...
|
|
|
|
BASE
|
|
Show details
|
|
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)
|
|
BASE
|
|
Show details
|
|
8 |
NeuroVAD: Real-Time Voice Activity Detection from Non-Invasive Neuromagnetic Signals
|
|
|
|
In: Sensors ; Volume 20 ; Issue 8 (2020)
|
|
BASE
|
|
Show details
|
|
9 |
Automated topographic prominence based quantitative assessment of speech timing in Cerebellar Ataxia
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Automatic Pronoun Resolution for Swedish ; Automatisk pronomenbestämning på svenska
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Application of Support Vector Machine (SVM) in the Sentiment Analysis of Twitter DataSet
|
|
|
|
In: Applied Sciences ; Volume 10 ; Issue 3 (2020)
|
|
BASE
|
|
Show details
|
|
12 |
SVM code for article: Support vector machine based aphasia classification of transcranial magnetic stimulation language mapping in brain tumor patients. ...
|
|
|
|
BASE
|
|
Show details
|
|
13 |
SVM code for article: Support vector machine based aphasia classification of transcranial magnetic stimulation language mapping in brain tumor patients. ...
|
|
|
|
BASE
|
|
Show details
|
|
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)
|
|
BASE
|
|
Show details
|
|
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)
|
|
BASE
|
|
Show details
|
|
16 |
Review on Sentiment Analysis of Twitter Data with Some Classifiers Ensembles ...
|
|
|
|
BASE
|
|
Show details
|
|
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
|
|
BASE
|
|
Hide details
|
|
18 |
Automatic Recognition of Narrative Drama Units: A Structured Learning Approach
|
|
|
|
BASE
|
|
Show details
|
|
19 |
Towards accurate detection of offensive language in online communication in Arabic
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Estimation of cross-lingual news similarities using text-mining methods
|
|
|
|
BASE
|
|
Show details
|
|
|
|