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Thara S.

Assistant Professor (Sr. Gr.), School of Computing, Amritapuri

Qualification: B. Tech., M.Tech.
thara@am.amrita.edu
Google Scholar Profile
ResearchGate Profile
Scopus Author ID
Research Interest: NLP, Text Analytics

Bio

Thara S. currently serves as Assistant Professor (Sr. Grd.) at the School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri. She pursued her M. Tech. degree in Computational Engineering and Networking. Prior to this, she worked as Project Engineer at Amrita Center for Cyber Security and Networks, Amrita Vishwa Vidyapeetham, Amritapuri Campus.

Qualification

  • M. Tech. (Computational Engineering and Networking)
  • B. Tech. (Information Technology)
Publications

Journal Article

Year : 2022

Social media text analytics of Malayalam – English code-mixed using deep learning

Cite this Research Publication : Thara,S.,Poornachandran,P. Social media text analytics of Malayalam – English code-mixed using deep learning. J Big Data 9, 45 (2022).

Publisher : Springer

Year : 2022

Social media text analytics of Malayalam–English code-mixed using deep learning

Cite this Research Publication : Thara, S., Poornachandran, P. "Social media text analytics of Malayalam–English code-mixed using deep learning." Journal of Big Data 9, 45 (2022). https://doi.org/10.1186/s40537-022-00594-3.

Publisher : Springer

Year : 2021

Transformer Based Language Identification for Malayalam-English Code-Mixed Text

Cite this Research Publication : S. Thara and P. Poornachandran, "Transformer Based Language Identification for Malayalam-English Code-Mixed Text," in IEEE Access, vol. 9, pp. 118837-118850, 2021, doi: 10.1109/ACCESS.2021.3104106.

Publisher : IEEE Access

Year : 2018

Aspect Sentiment Identification using random Fourier features

Cite this Research Publication : S. Thara and Krishna, A., “Aspect Sentiment Identification using random Fourier features”, International Journal of Intelligent Systems and Applications (IJISA), vol. 10, pp. 32-39, 2018.

Publisher : International Journal of Intelligent Systems and Applications (IJISA) .

Conference Paper

Year : 2022

Machine Learning Approach to Recognize and Classify Indian Sign Language

Cite this Research Publication : Pillai, S., Anand, A., Sai Jishnu, M., Ganesh, S., Thara, S. (2022). "Machine Learning Approach to Recognize and Classify Indian Sign Language". In: Smys, S., Balas, V.E., Palanisamy, R. (eds) Inventive Computation and Information Technologies. Lecture Notes in Networks and Systems, vol 336. Springer, Singapore. https://doi.org/10.1007/978-981-16-6723-7_28

Publisher : Springer, Singapore

Year : 2022

An Analytical Overview of the State-Wise Impact of COVID-19 in India

Cite this Research Publication : Lohani, R., Suresh, V., Varghese, E.G., Thara, S. (2022). "An Analytical Overview of the State-Wise Impact of COVID-19 in India". In: Fong, S., Dey, N., Joshi, A. (eds) ICT Analysis and Applications. Lecture Notes in Networks and Systems, vol 314. Springer, Singapore. https://doi.org/10.1007/978-981-16-5655-2_81

Publisher : Springer, Singapore

Year : 2022

Hope Speech Detection in Tamil and English Language

Cite this Research Publication : M. D. Surya Sai Eswar, N. Balaji, V. S. Sarma, Y. Chamanth Krishna and T. S., "Hope Speech Detection in Tamil and English Language," 2022 International Conference on Inventive Computation Technologies (ICICT), 2022, pp. 51-56, doi: 10.1109/ICICT54344.2022.9850866.

Publisher : IEEE Xplore

Year : 2021

Analysis of Contextual and Non-contextual Word Embedding Models for Hindi NER with Web Application for Data Collection

Cite this Research Publication : Barua, A., Thara, S., Premjith, B., Soman, K. P., "Analysis of Contextual and Non-contextual Word Embedding Models for Hindi NER with Web Application for Data Collection," (2021) Communications in Computer and Information Science, 1367, pp. 183-202. DOI: 10.1007/978-981-16-0401-0_14

Year : 2020

Code Mixed Question Answering Challenge using Deep Learning Methods

Cite this Research Publication : Thara S.; Sampath E.; Venkata Sitarami Reddy B.; Vidhya Sai Bhagavan M.; Phanindra Reddy M., "Code Mixed Question Answering Challenge using Deep Learning Methods," 2020 5th International Conference on Communication and Electronics Systems (ICCES), 2020, pp. 1331-1337, doi: 10.1109/ICCES48766.2020.9137971.

Publisher : Proceedings of the 5th International Conference on Communication and Electronics Systems

Year : 2020

Finding the Duplicate Questions in Stack Overflow using Word Embeddings

Cite this Research Publication : Babu, Jameer, and S. Thara. "Finding the Duplicate Questions in Stack Overflow using Word Embeddings." Procedia Computer Science 171 (2020): 2729-2733, DOI: 10.1016/j.procs.2020.04.296.

Publisher : Procedia Computer Science

Year : 2019

Predicting the Stock Market Behavior Using Historic Data Analysis and News Sentiment Analysis in R

Cite this Research Publication : Jishag, A.C., Athira, A.P., Shailaja, M., Thara, S. (2020). "Predicting the Stock Market Behavior Using Historic Data Analysis and News Sentiment Analysis in R," In: Luhach, A., Kosa, J., Poonia, R., Gao, XZ., Singh, D. (eds) First International Conference on Sustainable Technologies for Computational Intelligence. Advances in Intelligent Systems and Computing, vol 1045. Springer, Singapore. https://doi.org/10.1007/978-981-15-0029-9_56

Publisher : First International Conference on Sustainable Technologies for Computational Intelligence

Year : 2018

Word Level Language Identification in Code-Mixed Data using Word Embedding Methods for Indian Languages

Cite this Research Publication : I. Chaitanya, Madapakula, I., Gupta, S. K., and Thara, S., “Word Level Language Identification in Code-Mixed Data using Word Embedding Methods for Indian Languages”, in 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Bangalore, India, 2018

Publisher : 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Bangalore, India.

Year : 2018

A Comparison Study of Word Embedding for Detecting Named Entities of Code-Mixed Data in Indian Language

Cite this Research Publication : L. Sravani, Reddy, A. S., and Thara, S., “A Comparison Study of Word Embedding for Detecting Named Entities of Code-Mixed Data in Indian Language”, in 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Bangalore, India, 2018

Publisher : 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE, Bangalore, India.

Year : 2018

Code-Mixing: A Brief Survey

Cite this Research Publication : S. Thara and Poornachandran, P., “Code-Mixing: A Brief Survey”, in 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Bangalore, India, 2018

Publisher : 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE, Bangalore, India.

Year : 2017

Aspect based sentiment classication: Svd features

Cite this Research Publication : S. Thara and Sidharth, S., “Aspect based sentiment classication: Svd features”, in 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Udupi, India, 2017

Publisher : 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE

Year : 2014

Ensemble learning approach for author profiling

Cite this Research Publication : G. Gressel, K., S., A, A., Thara, S., P., H., and Prabaharan Poornachandran, “Ensemble learning approach for author profiling”, in Proceedings of CLEF 2014, 2014.

Publisher : Proceedings of CLEF 2014

Year : 2013

2D Image data approximation using Savitzky Golay filter #x2014; Smoothing and differencing

Cite this Research Publication :
B. G. Gowri, Hariharan, V., Thara, S., Kumar, S. S., and K. P. Soman, “2D Image data approximation using Savitzky Golay filter #x2014; Smoothing and differencing”, in Automation, Computing, Communication, Control and Compressed Sensing (iMac4s), 2013 International Multi-Conference on, 2013.

Publisher : Automation, Computing, Communication, Control and Compressed Sensing (iMac4s), 2013 International Multi-Conference on

Conference Proceedings

Year : 2013

2D Image Data Approximation using Savitzky-Golay Filter – Smoothing and Differencing

Cite this Research Publication : B. G. Gowri, Hariharan, V., Thara, S., Sowmya, Kumar, S. S., and Dr. Soman K. P., “2D Image data approximation using Savitzky Golay filter - Smoothing and differencing”, 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013. IEEE, Kochi, Kerala, pp. 365-371, 2013.

Publisher : IEEE

Awards/Achievements
  • “Best Poster Paper Award” in the Seventh International Conference on Advances in Computing, Communications and Informatics (ICACCI, 2018)

 

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