Md Shad Akhtar
Research Scholar
- Research Interest Natural Language Processing, Sentiment Analysis, Emotion Analysis
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Address
Department of Computer Science & Engineering
Indian Institute of Technology Patna -
E-mail
shad[dot]akhtar[at]gmail[dot]com
shad[dot]pcs15[at]iitp[dot]ac[dot]in - Phone +91 612 3028338, +91 612 3028003
Hello! I am a fifth year PhD student of department of computer science & engineering at Indian Institute of Technology Patna (IIT Patna), one of the India’s finest institution. My supervisor is Dr. Asif Ekbal and I’m associated with AI-NLP-ML group of IIT Patna led by Prof. Pushpak Bhattacharyya. My area of research broadly covers many facets of sentiment analysis such as fine-grained aspect level sentiment analysis, multi-modal sentiment analysis, multi-lingual/cross-lingual sentiment analysis, social media, less-resourced languages etc. My research interest also includes emotion analysis and rumour detection. I have published research papers in Knowledge-based systems, ACM TALLIP, IEEE Intelligent Systems, IEEE Computational Intelligence Magazine, NAACL, EMNLP, COLING, LREC, ICONIP, NLDB, CICLing etc.
Publications
- Md Shad Akhtar, Asif Ekbal, Erik Cambria (2019). How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble. IEEE Computational Intelligence Magazine (CIM). (Accepted)
- Md Shad Akhtar, Palaash Sawant, Sukanta Sen, Asif Ekbal and Pushpak Bhattacharyya (2018). Improving Word Embedding Coverage in Less-resource Language through Multi-linguality and Cross-linguality: A Case Study with Aspect based Sentiment Analysis. ACM Transaction on Asian Language and Information Processing (TALLIP), vol. 18, no. 2, pages 15:1-15:22.
- Md Shad Akhtar, Asif Ekbal, Sunny Narayan and Vikram Singh (2018). No that never happened!! Investigating Rumours in Twitter. IEEE Intelligent Systems, vol. 33, no. 5, pages 8-15.
- Md Shad Akhtar, Deepak Gupta, Asif Ekbal and Pushpak Bhattacharyya (2017). Feature Selection and Ensemble Construction: A Two-step Method for Aspect Based Sentiment Analysis. Knowledge based Systems, Elsevier, vol. 125, pages 116 - 135.
- Md Shad Akhtar, Dushyant Chauhan, Deepanway Ghosal, Soujanya Poria, Asif Ekbal and Pushpak Bhattacharyya (2019). Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis. In Proceedings of the 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL:HLT-2019), June 2019, Minneapolis, MN, US. (Accepted)
- Md Shad Akhtar, Abhishek Kumar, Asif Ekbal, Chris Biemann, and Pushpak Bhattacharyya (2019). Language-Agnostic Model for Aspect-Based Sentiment Analysis. In Proceedings of the 13th International Conference on Computational Semantics (IWCS-2019), May 2019, Gothenburg, Sweden. (Accepted)
- Kumar Shikhar Deep, Md Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya (2019). Related Tasks can Share! A Multi-task Framework for Affective language. In Proceedings of 20th International Conference on Intelligent Text Processing and Computational Linguistics (CICLING-2019), April 2019, La Rochelle, France. (Accepted)
- Deepanway Ghosal, Md Shad Akhtar, Dushyant Chauhan, Soujanya Poria, Asif Ekbal and Pushpak Bhattacharyya (2018). Contextual Inter-modal Attention for Multi-modal Sentiment Analysis. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP-2018), November 2018, Brussels, Belgium, pages 3454--3466.
- Navonil Majumder, Soujanya Poria, Alexander Gelbukh, Md Shad Akhtar, Erik Cambria and Asif Ekbal (2018). IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP-2018), November 2018, Brussels, Belgium, pages 3402--3411.
- Deepanway Ghosal, Md Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya (2018). Deep Ensemble Model with the Fusion of Character, Word and Lexicon Level Information for Emotion and Sentiment Prediction. In Proceedings of the 25th International Conference on Neural Information Processing (ICONIP-2018), December 2018, Siem Reap, Cambodia, pages 162--174.
- Md Shad Akhtar, Palaash Sawant, Sukanta Sen, Asif Ekbal and Pushpak Bhattacharyya (2018). Solving Data Sparsity for Aspect based Sentiment Analysis using Cross-linguality and Multi-linguality. In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL:HLT-2018), June 2018, New Orleans, LA, US, pages 572--582.
- Md Shad Akhtar, Abhishek Kumar, Deepanway Ghosal, Asif Ekbal and Pushpak Bhattacharyya (2017). A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), September 2017, Copenhagen, Denmark, pages 540-546.
- Md Shad Akhtar, Ayush Kumar, Asif Ekbal and Pushpak Bhattacharyya (2016). A Hybrid Deep Learning Architecture for Sentiment Analysis. In Proceedings of the 26th International Conference on Computational Linguistics (COLING-2016), December 2016, Osaka, Japan, pages 482-493.
- Md Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya (2016). Aspect based Sentiment Analysis in Hindi: Resource Creation and Evaluation. In Proceedings of the 10th edition of the Language Resources and Evaluation Conference (LREC-2016), May 2016, Portorož, Slovenia, pages 2703-2709.
- Md Shad Akhtar, Sarah Kohail, Amit Singh, Asif Ekbal and Chris Biemann (2017). Feature Selection Using Multi-objective Optimization for Aspect Based Sentiment Analysis. In Proceedings of the 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, LNCS, June 2017, Liège, Belgium, pages 15-27.
- Md Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya, (2016). Aspect Based Sentiment Analysis: Category Detection and Sentiment Classification for Hindi. In Proceedings of 17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLING-2016), April 2016, Konya, Turkey, pages 246--257.
- Md Shad Akhtar, Palaash Sawant, Asif Ekbal, Jyoti Pawar and Pushpak Bhattacharyya (2017). IITP at EmoInt-2017: Measuring Intensity of Emotions using Sentence Embeddings and Optimized Features. In Proceedings of the EMNLP 2017 Workshop on Computational Approaches to Subjectivity, Sentiment, and Social Media (WASSA), September 2017, Copenhagen, Denmark.
- Depanway Ghosal, Shobhit Bhatnagar, Md Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya (2017). IITP at SemEval-2017 Task 5: An Ensemble of Regression Algorithms with Effective Features for Fine-Grained Sentiment Analysis in Financial Domain. In Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval-2017), August 2017, Vancouver, Canada, pages 899–903.
- Abhishek Kumar, Abhishek Sethi, Md Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya (2017). IITP at SemEval-2017 Task 5: Sentiment Prediction in Financial Text. In Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval-2017), August 2017, Vancouver, Canada, pages 894–898.
- Vikram Singh, Sunny Narayan, Md Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya (2017). IITPB at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation. In Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval-2017), August 2017, Vancouver, Canada, pages 488–492.
- Md Shad Akhtar, Utpal Kumar Sikdar and Asif Ekbal, (2015). IITP: Multiobjective Differential Evolution based Twitter Named Entity Recognition. In Proceedings of the ACL 2015 Workshop on Noisy User-generated Text (WNUT-2015), July 2015, Beijing, China, pages 61–67.
- Md Shad Akhtar, Utpal Kumar Sikdar and Asif Ekbal, (2015). IITP: Hybrid Approach for Text Normalization in Twitter. In Proceedings of the ACL 2015 Workshop on Noisy User-generated Text (WNUT-2015), July 2015, Beijing, China, pages 106–110.
Talks & Lectures
- Introduction to Neural Network and Deep Learning - Kevin Patel, IIT Bombay
- Convolutional Neural Network - Rudra Murthy, IIT Bombay
- Recurrent Neural Network/Long Short Term Memory/Attention Mechanism - Md Shad Akhtar, IIT Patna
- Word Embeddings - Kevin Patel, IIT Bombay
- Sentiment Analysis - Md Shad Akhtar, IIT Patna
- Named Entity Recognition - Rudra Murthy, IIT Bombay
- Question Answering - Md Shad Akhtar, IIT Patna
- Neural Machine Translation - Rudra Murthy, IIT Bombay
- Introduction to Aspect Based Sentiment Analysis (ABSA)
- Introdcution to Neural Network and Deep Learning
- Visualization of RNN through Feed-Forward Neural Network
- Distributed Representation - Word Embeddings
- Particple Swarm Optimization (PSO)
- A beginner's guide to WEKA
- Cross-lingual and Multi-lingual Word Embeddings
Academic Activities
- Served as program committee member for COLING-2018, AAAI-2018 and NAACL-2019.
- Served as reviewer for ACM Transaction on Asian and Low-Resource Language Information Processing (TALLIP) and Springer Sadhana.
Work Experience
- CS513: Computer Systems (Laboratory) - Winter semester 2015.
- CS201: Object Oriented Programming and Data Structure (Laboratory) - Autumn semester 2015.
- CS347: Compiler Design (Laboratory) - Winter semester 2016.
- CS571: Artificial Intelligence (Theory and Laboratory) - Autumn semester 2016, 2017 and 2018.
- CS563: Natural Language Processing (Theory) - Winter semester 2017, 2018 and 2019.
Education
Indian Institute of Technology Patna
Indian Institute of Technology (Indian School of Mines) Dhanbad
Jamia Millia Islamia, New Delhi
Jamia Millia Islamia, New Delhi
P. N. Anglo Sanskrit High School, Patna
Awards and Recognitions
Supervisor, Mentors & Referees
Associate Professor, IIT Patna
Professor, IIT Patna & IIT Bombay
Contact Me
Feel free to contact me
Room#510, Fifth Floor, Block - III,
Department of Computer Science & Engineering,
Indian Institute of Technology Patna
Bihta, Patna, India.
Pin - 801106. phone +91 612 3028338, +91 612 3028003 E-mail shad[dot]akhtar[at]gmail[dot]com
shad[dot]pcs15[at]iitp[dot]ac[dot]in