Sweeta Bansal

Professional Qualifications

  • M.Tech :Computer Science
  • PhD :Computer Science(NLP)

Teaching Experience

25 years experience teaching courses on undergraduate and postgraduate levelss

Other Experience

2 years in ABB as Executive EDP (LAN)

Subject of Interest

Object Oriented Techniques, Web Technology, Software Engineering, Cloud Computing, Agile Software Development

Academic Achievements

  • “International Journal for Research in Applied Science and Engineering Technology (IJRASET)” ISSN: 2321-9653 Volume 8, Issue 5 Page no 2165-2169. Dr. Sweeta Bansal, Shruti Nim,Aayushi Jain,Shweta Rajvanshi,” Sentiment Analysis: Statistical and Linguistic Approach”
  • International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE) “EMOTIONAL HINDI SPEECH AND RECOGNITION” Volume 5 Issue 7 publishes on 27 th July- 2015 ,ISSN(Print): 22776451.
  • International Conference On Contemporary Engineering And Technology– 2019, Inderprastha Engineering College,27th and 28th APRIL, 2019 ,ISBN: 978-93-81288-18-4 ”• • Dr. Sweeta Bansal,Aditi Sharma, Anjali Tyagi “DRUG REPOSITIONING”
  • The 9th INDIACom-2015; IEEE Conference ID: 350712015 2nd International Conference on “Computing for Sustainable Global Development”, 11th - 13th March, 2015, Bharati Vidyapeetham; Institute of Computer Applications and Management (BVICAM), New Delhi (INDIA)” • Dr. Amita Dev, Sweeta Bansal,”Emotional Hindi Speech: Feature Extraction and Classification
  • 16th International Conference Oriental COCOSDA/CASLRE-2013, November 25-27, 2013 – KIIT Gurgaon (INDIA) ”• Dr. Amita Dev, Sweeta Bansal, “EMOTIONAL HINDI SPEECH AND RECOGNITION “
  • International Conference on Computing: Updates & Trends (CUT- 2010),6th February 2010, Jaipuria Group of Institutions, India”Sweeta Bansal, “Data Mining for Co-operate Intelligence
  • International Technology for Business Transformation(ITBT' 09),10- 11th April,2009 at Ajay Kumar Garg Engineering College, India ” Sweeta Bansal, “Roadmap of Software Testing: Towards Theory Universa”

Areas of Interest:

Natural Language Processing, Agile Software Development, Big Data