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1	Persian Sentence-level Sentiment Polarity Classification
	Dashtipour, Kia; Gogate, Mandar; Gelbukh, Alexander...
	In: ICOTEN ; https://hal.archives-ouvertes.fr/hal-03258138 ; ICOTEN, Jun 2021, Glasgow, United Kingdom (2021)
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2	Persian Sentence-level Sentiment Polarity Classification
	Dashtipour, Kia; Gogate, Mandar; Gelbukh, Alexander...
	In: ICOTEN ; https://hal.archives-ouvertes.fr/hal-03241928 ; ICOTEN, May 2021, Glasgow, France (2021)
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3	Extending persian sentiment lexicon with idiomatic expressions for sentiment analysis
	Dashtipour, Kia; Gogate, Mandar; Gelbukh, Alexander. - : Springer, 2021
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4	Novel Deep Convolutional Neural Network-Based Contextual Recognition of Arabic Handwritten Scripts
	Ahmed, Rami; Gogate, Mandar; Tahir, Ahsen. - : MDPI, 2021
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5	Does semantics aid syntax? An empirical study on named entity recognition and classification
	Zhong, Xiaoshi; Cambria, Erik; Hussain, Amir. - : Springer, 2021
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6	Arabic question answering system: a survey
	Azmi, Aqil M.; Cambria, Erik; Hussain, Amir. - : Springer, 2021
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7	Advances in machine translation for sign language: approaches, limitations, and challenges
	Sabir, Nabeel; Abid, Adnan; Hussain, Amir. - : Springer, 2021
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8	A novel context-aware multimodal framework for persian sentiment analysis
	Dashtipour, Kia; Gogate, Mandar; Cambria, Erik; Hussain, Amir. - : Elsevier, 2021
	Abstract: Most recent works on sentiment analysis have exploited the text modality. However, millions of hours of video recordings posted on social media platforms everyday hold vital unstructured information that can be exploited to more effectively gauge public perception. Multimodal sentiment analysis offers an innovative solution to computationally understand and harvest sentiments from videos by contextually exploiting audio, visual and textual cues. In this paper, we, firstly, present a first of its kind Persian multimodal dataset comprising more than 800 utterances, as a benchmark resource for researchers to evaluate multimodal sentiment analysis approaches in Persian language. Secondly, we present a novel context-aware multimodal sentiment analysis framework, that simultaneously exploits acoustic, visual and textual cues to more accurately determine the expressed sentiment. We employ both decision-level (late) and feature-level (early) fusion methods to integrate affective cross-modal information. Experimental results demonstrate that the contextual integration of multimodal features such as textual, acoustic and visual features deliver better performance (91.39%) compared to unimodal features (89.24%).
	Keyword: Multimodal sentiment analysis; Persian sentiment analysis
	URL: http://researchrepository.napier.ac.uk/Output/2800735 https://doi.org/10.1016/j.neucom.2021.02.020
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9	A semi-supervised approach for sentiment analysis of arab (ic+ izi) messages: Application to the algerian dialect
	Adeel, Ahsan; Guellil, Imane; Gogate, Mandar. - : Springer, 2021
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10	Multi-lingual character handwriting framework based on an integrated deep learning based sequence-to-sequence attention model
	Rabhi, Besma; Elbaati, Abdelkarim; Boubaker, Houcine. - : Springer, 2021
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11	A Semi-supervised Approach for Sentiment Analysis of Arab(ic+izi) Messages: Application to the Algerian Dialect
	Guellil, Imane; Adeel, Ahsan; Azouaou, Faical. - 2021
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12	A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis
	Dashtipour, Kia; Gogate, Mandar; Cambria, Erik. - : Elsevier BV, 2021
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13	Novel Deep Convolutional Neural Network-Based Contextual Recognition of Arabic Handwritten Scripts
	Ahmed, Rami; Gogate, Mandar; Tahir, Ahsen. - : MDPI, 2021
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14	Persian Sentence-level Sentiment Polarity Classification
	Dashtipour, Kia; Gogate, Mandar; Gelbukh, Alexander. - : IEEE, 2021. : Piscataway, NJ, USA, 2021
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15	Extracting Time Expressions and Named Entities with Constituent-Based Tagging Schemes
	Zhong, Xiaoshi; Cambria, Erik; Hussain, Amir. - : Springer, 2020
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16	CochleaNet: A robust language-independent audio-visual model for real-time speech enhancement
	Gogate, Mandar; Dashtipour, Kia; Adeel, Ahsan. - : Elsevier, 2020
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17	Offline Arabic Handwriting Recognition Using Deep Machine Learning: A Review of Recent Advances
	Ahmed, Rami; Dashtipour, Kia; Gogate, Mandar. - : Springer, 2020
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18	Persuasive dialogue understanding: The baselines and negative results
	Chen, Hui; Ghosal, Deepanway; Majumder, Navonil. - : Elsevier, 2020
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19	Deep Neural Network Driven Binaural Audio Visual Speech Separation
	Gogate, Mandar; Dashtipour, Kia; Bell, Peter. - : Institute of Electrical and Electronics Engineers, 2020
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20	Visual Speech In Real Noisy Environments (VISION): A Novel Benchmark Dataset and Deep Learning-Based Baseline System
	Gogate, Mandar; Dashtipour, Kia; Hussain, Amir. - 2020
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