Dr. Md Shad Akhtar

Dr. Md Shad Akhtar

Assistant Professor, IIIT Delhi

Laboratory of Computational Social Systems (LCS2)

  • Research Interest Natural Language Processing, Sentiment Analysis, Emotion Analysis, Conversational Dialog Systems, Low-resource and Code-mixed languages.
  • Address Department of Computer Science & Engineering
    Indraprasth Institute of Information Technology, Delhi
  • E-mail shad[dot]akhtar[at]{iitp[dot]ac[dot]in, gmail[dot]com}
  • Phone +91 11 269070365

Download Resume

I am currently an Assistant Professor in the Department of Computer Science and Engineering at Indraprastha Institute of Information Technology - Delhi (IIIT-Delhi). Prior to joining IIIT-Delhi in January, 2020, I served IIIT Dharward as an Assistant Professor. I completed my PhD form IIT Patna in Nov 2019, and hold M.Tech and BEng degrees in computer science from IIT(ISM)-Dhanbad and JMI, New Delhi, respectively. I also have industry experience of more than two years with HCL Technologies Ltd. My main area of research is Natural Language Processing with a focus on affective analysis, converstaion dialog systems, low-resource and code-mixed languages.

Research

Current Research
  • Conversational Dialogs: We regard various modules of a dialog system, such as intent classification, slot-filling, dialog-act classification, dialog management, and dialog generation, for both goal-oriented and generic conversational chatbots. Moreover, we inspect conversational dialogs for various supplementary tasks as well, e.g., speaker profiling, emotion-flip reasoning, etc.
  • Code-mixed and Low Resource Language Processing: We explore a wide range of natural language processing tasks in the vicinity of code-mixed and low-resource languages in Indian context. The prime objective is to facilitate the technology to a vast non-native English speakers.
  • Multimodality We study the interdisciplinary domain of speech and/or vision modalities with the textual processing for a number of traditional and recent natural language processing tasks such as summarization, opinion mining, emotion analysis, sarcasm detection, offensive post detection, etc.
For more information, please visit: http://lcs2.iiitd.edu.in/research.html

Publications



JOURNALS
  • Md Shad Akhtar, Dushyant Singh Chauhan, and Asif Ekbal (2020); A Deep Multi-task Contextual Attention Framework for Multi-modal Affect Analysis. IEEE Transactions on Knowledge Discovery from Data (TKDD), April 2020.

    [Pdf     Bibtex]


  • Md Shad Akhtar, Tarun Garg, and Asif Ekbal (2020); Multi-task Learning for Aspect Based Sentiment Analysis. Neurocomputing, Elsevier, March 2020.

    [Pdf     Bibtex]


  • 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), January 2020.

    [Pdf     Bibtex]


  • Md Shad Akhtar, Deepanway Ghosal, Asif Ekbal, Pushpak Bhattacharyya, and Sadao Kurohashi (2019). All-in-One: Emotion, Sentiment and Intensity Prediction using a Multi-task Ensemble Framework. IEEE Transactions on Affective Computing, August 2019.

    [Pdf     Bibtex]


  • 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.

    [Pdf     Bibtex]


  • 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.

    [Pdf     Bibtex]


  • 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.

    [Pdf     Bibtex]


CONFERENCES
  • Dushyant Singh Chauhan, Md Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya (2019). Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis. In P2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJNLP 2019), Nov 2019, Hong-Kong, China, pages 5651–5661.

    [Pdf     Bibtex]


  • Suyash Sangwan, Dushyant Singh Chauhan, Md Shad Akhtar, Asif Ekbal, and Pushpak Bhattacharyya (2019). Multi-task Gated Contextual Cross-modal Attention Framework for Sentiment and Emotion Analysis. In Proceedings of the 6th International Conference on Neural Information Processing (ICONIP-2019), Dec 2019, Sydney, Australia.

    [Pdf     Bibtex]


  • 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)

    [Pdf     Bibtex]


  • 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)

    [Pdf     Bibtex]


  • 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)

    [Pdf     Bibtex]


  • 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.

    [Pdf     Bibtex]


  • 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.

    [Pdf     Bibtex]


  • 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.

    [Pdf     Bibtex]


  • 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.

    [Pdf     Bibtex]


  • 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.

    [Pdf     Bibtex]


  • 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.

    [Pdf     Bibtex]


  • 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.

    [Pdf     Bibtex]


  • 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.

    [Pdf     Bibtex]


  • 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.

    [Pdf     Bibtex]


WORKSHOPS
  • 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.

    [Pdf     Bibtex]


  • 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.

    [Pdf     Bibtex]


  • 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.

    [Pdf     Bibtex]


  • 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.

    [Pdf     Bibtex]


  • 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.

    [Pdf     Bibtex]


  • 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.

    [Pdf     Bibtex]

Talks & Lectures

Foundations of Deep learning and its Application in NLP - JMI, New Delhi
08th April 2019
Delivered a lecture on ‘Foundations of Deep learning and its Application in Natural Language Processing’ at the Department of Computer Science & Engineering, Jamia Millia Islamia, New Delhi.

Slides


Demo/Lab sessions on Natural Langauge Processing - C-DOT, New Delhi
15th - 21st January 2018
Jointly conducted demo/lab sessions on various problems of ‘Natural Language Processing’ during a week-long tutorial at Center for Development of Telematics (C-DOT), New Delhi (a Government of India owned Telecommunications & Technology Development Centre).

Deep Learning for Natural Language Processing, ICON - 2017
21st December 2017
Jointly conducted a day-long tutorial on the topic of ‘Deep Learning for Natural Language Processing’ at the '14th International Conference on Natural Language Processing (ICON - 2017)' held at Jadavpur University, Kolkata. Other speakers were Mr. Rudra Murthy V (Research Scholar, IIT Bombay) and Mr. Kevin Patel (Research Scholar, IIT Bombay). Major topics covered during the tutorial were - Introdcution to Neural Network and Deep Learning, Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Long Short Term Memory (LSTM) network, Attention mechanism, Word Embeddings and various natural language processing applicatoins e.g. Sentiment Analysis, Named-Entity Recognition etc. You can find the slides below.

GIAN workshop on Natural Langauge Processing, IIT Patna
May 2016
Delivered a lecture on the topic of ‘Sentiment Analysis in Indian Languages’ during the workshop on 'Natural Language Processing' organized by ‘Global Initiative of Academic Networks (GIAN), an MHRD - Govt. of India program’.

Slides


Lectures at IIT Patna
I had delivered many lectures on various topics during my PhD at IIT Patna so far. The prime audience of these were the under-gradutes, post-graduates and newly joined doctral students. You can find slides for few of my lectures below.

Academic Activities

Reviewer of Academic Journal and Conferences
  • 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

Assistant Professor, IIIT Dharwad
Aug 2019 - Dec 2019
  • Compiler Design - Odd semester 2015.
  • Design and Analysis of Algorithms - Odd semester 2015.

Teaching Assistant at IIT Patna
Jan 2015 - June 2019
  • Computer Systems (Laboratory) - Even semester 2015.
  • Object Oriented Programming and Data Structure (Laboratory) - Odd semester 2015.
  • Compiler Design (Laboratory) - Even semester 2016.
  • Artificial Intelligence (Theory and Laboratory) - Odd semesters 2016, 2017 and 2018.
  • Natural Language Processing (Theory) - Even semesters 2017, 2018 and 2019.

Assistant Professor, R P Sharma Institute of Technology, Patna
September 2014 - December 2014
  • Compiler Design - Odd semester 2014.
  • Computer Networks - Odd semester 2014.
  • Object Oriented Programming - Odd semester 2014.
  • Principle of Programming Languages - Odd semester 2014.

Software Engineer, HCL Technologies Ltd., Gurgaon
April 2010 - June 2012
MFC/VC++, Perl, Java Script, C#.

Education

Doctoral Degree
December 2014 - November 2019
PhD (CSE)
Indian Institute of Technology Patna
Thesis: Investigations in Aspect Based Sentiment Analysis

Master's Degree
2012 - 2014
M.Tech (CSE)
Indian Institute of Technology (Indian School of Mines) Dhanbad

Bachelor's Degree
2005 - 2009
B.E (Computer Engineering)
Jamia Millia Islamia, New Delhi

Diploma
2001 - 2004
Diploma in Computer Engineering
Jamia Millia Islamia, New Delhi

High School
2001
Matriculation
P. N. Anglo Sanskrit High School, Patna

Awards and Recognitions

Invited to attend the Amazon Research Days
September 2018
Invited to attend and present the research work on Multi-modal Sentiment Analysis at Amazon Research Days - 2018 held in Bangalore, India.

Travel grant to attend Google NLP Summit
September 2017
Received Google grant to attend Google Natural Language Processing Summit-2017 in Zurich, Switzerland.

Best Presentation Award
April 2016
Received best presentation award from Samsung India during their research visit at IIT Patna.

Qualified UGC-NET for lecturership
June 2014
Successfully qualified the University Grant Commission - National Eligibility Test (UGC-NET) for the lecturership.

Qualified GATE
2010, 2011 & 2014
Successfully qualified Graduate Aptitude Test Engineering (GATE) examination thrice in the years 2010, 2011 and 2014.

LiveWire Excellence Award
2010 - 2011
Awarded LiveWire Excellence Award for the outstanding contribution to the project at HCL Technologies Ltd., Gurgaon.

Gold Medal in Bachelor's Degree
2009
Received gold medal for securing the highest marks in the class in B.E (Computer Engineering) from Jamia Millia Islamia, New Delhi.

Contact Me

Feel free to contact me

Address B-406, Fourth Floor,
Department of Computer Science & Engineering,
Research & Development Building
Indraprastha Institute of Information Technology, Delhi (IIIT Delhi)
New Delhi, India.
Pin - 110020.
phone +91 11 269070365 E-mail shad[dot]akhtar[at]gmail[dot]com
shad[dot]akhtar[at]iiitd[dot]ac[dot]in