About Me
I am the Founder and CEO of VideoDubber.ai and AutoReview, Ph.D., former TCS research fellow in the department of Computer Science and Engineering at IIT Kharagpur, India. I was jointly supervised by Prof. Animesh Mukherjee & Prof. Pawan Goyal. My research area was Applied Deep Learning and my research interests fall in Cross-Domain Fewshot Learning, Sentiment Analysis and Media Bias.
I was a part of Complex Networks Research Group at IIT Kharagpur.
About AutoReview
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Why choose VideoDubber.ai?
- We are about 3x cheaper than anyone in the market right now and we will remain the cheapest option for premium video translation with AI.
- Our outputs are far more superior than other competitors. We will soon publish a blog post comparing us with others. Take our word for it till then. Thank us later.
- We offer free service for short videos. No watermark is added. Test our quality just by creating an account.
- We offer state of the art voice cloning services for free backed by our own research (no third party API)
- Our UI is super smooth and mobile-friendly.
- Our customer support is super active at contact@videodubber.ai
- Embed your subtitles, lipsync and edit subtitles in seconds with VideoDubber.ai
- You can request us any new feature you need. We are super-accessible unlike other big companies focusing on profit. Our focus is 100% customer satisfaction.
VideoDubber.ai is supported by:
Research
- Fewshot Learning from text for Multimodal Sentiment Analysis
*Work in Progress - (Im)balance in the Representation of News: An Extensive Study on a Decade Long Dataset from India
*Reviews Awaited -
A Leopard Can Not Change Its Spots: Few-shot Learning for Political Ideology Detection
*Reviews Awaited -
”Mining the online infosphere: A survey“
Souvic Chakraborty, Sayantan Adak, Paramtia Das, Mithun Das, Abhisek Dash, Rima Hazra, Binny Mathew, Punyajoy Saha, Soumya Sarkar, Animesh Mukherjee_
WIREs Data Mining and Knowledge Discovery - ”Aspect-based Sentiment Analysis of Scientific Reviews“
Souvic Chakraborty, Pawan Goyal, Animesh Mukherjee_
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020(ACM JCDL-2020) (Oral Presentation), Wuhan, China
(DOI)
Education
-
Indian Institute of Technology Kharagpur (IITKGP) From 2019
PhD Scholar (TCS Research Fellow), Department of Computer Science and Engineering -
Indian Institute of Technology Kharagpur (IITKGP) 2018-19
Project Scientist, Department of Computer Science and Engineering -
Indian Institute of Technology Kharagpur (IITKGP) 2012-2016
Bachelor of Technology in Electronics & Electrical Communication -
Higher Secondary Board 2012
Council of Higher Secondary Education, West Bengal
Score 90.40 %, 2nd Topper in the State of West Bengal in WBJEE -
Secondary Board 2010
Board of Secondary Education, West Bengal
Score 90.63 %
Experience
- IIT Kharagpur Jan’19-now
PhD Research Scholar, Dept. of Computer Science and Engineering (Under Prof. Animesh Mukherjee) - IIT Kharagpur July’18-Dec’18
Project Scientist, Dept. of Computer Science and Engineering (Under Prof. Animesh Mukherjee) - Altisource Labs Jan’17-July’18
Lead, Data Science - Altisource Labs June’16-Jan’17
Analyst, Data Science
Teaching Experience (Teaching Assistant)
- AI and Ethics (CS60016), Spring 2021, IIT Kharagpur
- Programming and Data Structures (CS10003), Autumn 2020, IIT Kharagpur
- Algorithms I (CS21003), Autumn 2019, IIT Kharagpur
Awards and Achievements
- Facebook Ethics in AI 2019(https://research.fb.com/programs/research-awards/proposals/ethics-in-ai-research-awards-india/)
- TCS Research Fellowship 2019
Tata Consultancy Services (TCS) has awarded fellowship for research on “Citation Networks” - Corporate Praise & Promotion
Was reviewed as “excellent” and was promoted twice in the company in less than 9 months. - State Entrance Exam Topper 2012
Secured 2nd Rank in the State (West Bengal) in WBJEE 2012
PC Member
- EMNLP 2021)
- NAACL 2021
- Journal, Springer Nature
Sub-reviewer
- EACL 2021
- EMNLP 2020
- ACL 2020
- WWW 2020
Volunteer
- AAAI,2021
News Coverage
- Hindustan Times
- NDTV
- Financial Express
- For a complete list refer here
Relevant CourseWork
Reinforcement Learning, Deep Learning Foundation and Applications, Speech and Natural Language Processing, Deep Learning, Social Computing, Pattern Recognition and Machine Learning, Algorithm Design and Analysis, Data Structure and Algorithms
Contact
Email: chakra.souvic@gmail.com
Ph: +91 9591058978