Overview
Pikakshi is a Lecturer in Computer Science at the University of Exeter – currently teaching on the BSc courses in the Digital and Technology Solutions Degree Apprenticeship programme.
She achieved her Bachelors and Masters degree in Information Technology from India and gained her PhD in 2017 in Computer Science with a specialisation in Natural Language Processing from University of Milano-Bicocca, Italy. After her PhD, she started workng as a Postdoctoral Research Fellow with the VISTA AR project at the University of Exeter Business School where her research was focused on the use of Natural Language Processing methodologies to understand and analyse customer behaviours, profiles and experience within the domain of Cultural Heritage Tourism in England and France.
She also has experience of leading research teams and supervising data engineers for design and development of Web applications using Machine Learning and NLP techniques. Her research interests include Data Analytics, Machine Learning, Social Media Analytics, Information Retrieval and Customer Experience Management.
Pikakshi currently teaches:
- ECM1418: Business Organisation,
- ECM2431: Information Systems,
- EMC3433: Data Analysis 1, and
- EMC3441: Data Analysis 2.
Publications
Copyright Notice: Any articles made available for download are for personal use only. Any other use requires prior permission of the author and the copyright holder.
| 2021 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 |
2021
- Nozza D, Manchanda P, Fersini E, Palmonari M, Messina E. (2021) LearningToAdapt with word embeddings: Domain adaptation of Named Entity Recognition systems, Information Processing and Management, volume 58, no. 3, DOI:10.1016/j.ipm.2021.102537.
2018
- Fersini E, Manchanda P, Messina E, Nozza D, Palmonari M. (2018) Adapting named entity types to new ontologies in a microblogging environment, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 10868 LNAI, pages 783-795, DOI:10.1007/978-3-319-92058-0_76.
2017
- Manchanda P, Fersini E, Palmonari M, Nozza D, Messina E. (2017) Towards adaptation of Named Entity classification, Proceedings of the ACM Symposium on Applied Computing, volume Part F128005, pages 155-157, DOI:10.1145/3019612.3022188.
- Nozza D, Ristagno F, Palmonari M, Fersini E, Manchanda P, Messina E. (2017) TWINE: A real-time system for TWeet analysis via INformation extraction, 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of the Software Demonstrations, pages 25-28, DOI:10.18653/v1/e17-3007.
2016
- Cecchini FM, Fersini E, Manchanda P, Messina E, Nozza D, Palmonari M, Sas C. (2016) UNIMIB@NEEL-IT : Named entity recognition and linking of Italian tweets, CEUR Workshop Proceedings, volume 1749, DOI:10.4000/books.aaccademia.1938.
2015
- Manchanda P, Fersini E, Palmonari M. (2015) Leveraging entity linking to enhance entity recognition in microblogs, IC3K 2015 - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, volume 1, pages 147-155, DOI:10.5220/0005640701470155.
2014
- Younus A, Qureshi MA, Manchanda P, O’riordan C, Pasi G. (2014) Utilizing microblog data in a topic modelling framework for scientific articles’ recommendation, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 8851, pages 384-395, DOI:10.1007/978-3-319-13734-6_28.
- Gupta S, Bhatia KK, Manchanda P. (2014) WebParF: A Web partitioning framework for Parallel Crawlers. [PDF]
2013
- Manchanda P, Gupta S, Bhatia KK. (2013) Erratum: Domain Identification and Classification of Web Pages Using Artificial Neural Network, Advances in Computing, Communication, and Control, Springer Nature, e1-e1, DOI:10.1007/978-3-642-36321-4_70.
2012
- Manchanda P. (2012) On The Automated Classification of Web Pages Using Artificial Neural Network, IOSR Journal of Computer Engineering, volume 4, no. 1, pages 20-25, DOI:10.9790/0661-0412025.
