DE eng

Search in the Catalogues and Directories

Hits 1 – 19 of 19

1
Persian Sentence-level Sentiment Polarity Classification
In: ICOTEN ; https://hal.archives-ouvertes.fr/hal-03258138 ; ICOTEN, Jun 2021, Glasgow, United Kingdom (2021)
BASE
Show details
2
Persian Sentence-level Sentiment Polarity Classification
In: ICOTEN ; https://hal.archives-ouvertes.fr/hal-03241928 ; ICOTEN, May 2021, Glasgow, France (2021)
BASE
Show details
3
Extending persian sentiment lexicon with idiomatic expressions for sentiment analysis
BASE
Show details
4
Novel Deep Convolutional Neural Network-Based Contextual Recognition of Arabic Handwritten Scripts
BASE
Show details
5
A novel context-aware multimodal framework for persian sentiment analysis
BASE
Show details
6
A semi-supervised approach for sentiment analysis of arab (ic+ izi) messages: Application to the algerian dialect
BASE
Show details
7
A Semi-supervised Approach for Sentiment Analysis of Arab(ic+izi) Messages: Application to the Algerian Dialect
BASE
Show details
8
A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis
Dashtipour, Kia; Gogate, Mandar; Cambria, Erik. - : Elsevier BV, 2021
BASE
Show details
9
Novel Deep Convolutional Neural Network-Based Contextual Recognition of Arabic Handwritten Scripts
BASE
Show details
10
Persian Sentence-level Sentiment Polarity Classification
Dashtipour, Kia; Gogate, Mandar; Gelbukh, Alexander; Hussain, Amir. - : IEEE, 2021. : Piscataway, NJ, USA, 2021
Abstract: Assigning positive and negative polarity into Persian sentences is difficult task, there are different approaches has been proposed in various languages such as English. However, there is not any approach available to identify the final polarity of the Persian sentences. In this paper, the novel approach has been proposed to detect polarity for Persian sentences using PerSent lexicon (Persian lexicon). For this, we have proposed two different algorithms to detect polarity in the sentence and finally SVM, MLP and Na¨ıve Bayes classifier has been used to evaluate the performance of the proposed method. The SVM received better results in comparison with Na¨ıve Bayes and MLP. ; Output Status: Forthcoming
Keyword: Machine Learning; Persian; Sentiment Analysis
URL: http://hdl.handle.net/1893/32735
http://dspace.stir.ac.uk/retrieve/ac8b4520-d155-420b-b3f4-478668117fd5/Persian_Polarity.pdf
BASE
Hide details
11
CochleaNet: A robust language-independent audio-visual model for real-time speech enhancement
BASE
Show details
12
Offline Arabic Handwriting Recognition Using Deep Machine Learning: A Review of Recent Advances
BASE
Show details
13
Deep Neural Network Driven Binaural Audio Visual Speech Separation
Gogate, Mandar; Dashtipour, Kia; Bell, Peter. - : Institute of Electrical and Electronics Engineers, 2020
BASE
Show details
14
Visual Speech In Real Noisy Environments (VISION): A Novel Benchmark Dataset and Deep Learning-Based Baseline System
BASE
Show details
15
A hybrid Persian sentiment analysis framework: Integrating dependency grammar based rules and deep neural networks
BASE
Show details
16
A Hybrid Persian Sentiment Analysis Framework: Integrating Dependency Grammar Based Rules and Deep Neural Networks ...
BASE
Show details
17
Lip-reading driven deep learning approach for speech enhancement
In: abs/1808.00046 ; 1 ; 10 (2019)
BASE
Show details
18
A Hybrid Persian Sentiment Analysis Framework: Integrating Dependency Grammar Based Rules and Deep Neural Networks
BASE
Show details
19
Persian Named Entity Recognition
Dashtipour, Kia; Gogate, Mandar; Adeel, Ahsan. - : Institute of Electrical and Electronics Engineers Inc, 2017. : Piscataway, NJ, USA, 2017
BASE
Show details

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
19
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern