SOUJANYA PORIA
E-Mail: [email protected]
Date of Birth:
Languages:
6th Aprill,1992
English, Hindi, Bengali
TECHNICAL SKILLS
Programming languages:
Operating systems:
Database:
Research areas:
C, C++, Java 2, J2ME, Python; XML
Windows 98/XP/Vista/7, Linux
Oracle, Sql
Opinion Mining, Machine Learning, SVM,
Fuzzy Clustering, NLP, Sentiment, Analysis,
Cognitive Science, Sentic Computing
ACADEMIC CREDENTIALS
 BSc Engineering (Computer Science), Jadavpur University, since 2009 with 70.41%
aggregate.
 Senior Secondary, 2009: within top 0.05% of the generation.
 Secondary, 2007: within in top 0.05% of the generation.
AWARDS
 Jadavpur University - Tata Consultancy Services Best Undergraduate Software
Project Gold Plated Silver Medal Award.
 Best student paper, MICAI 2012 (the competition included PhD and MSc level papers).
 Brain Science Foundation - MIT Fellowship (started from October, 2012).
Current Engagement
 Research Engineer in Department of Electrical and Electronic Engineering, Nanyang
Technological University, Singapore.
RESEARCH APPOINTMENTS
 Jadavpur University
Junior Researcher. Tasks in RTE and WSD in Bengali; building English to Bengali synsets.
 National University of Singapore
Research Assistant. Project: A common-sense based software development.
 MIT, Synthetic Intelligence Lab-Brain Science Foundation
Project member; project on emotion recognition in natural language texts.
INTERNSHIPS
 National University Singapore
 Centre for Next Generation Localisation, Dublin City University
 The Icelandic Centre for Language Technology, Reykjavik University, Iceland
 Computer Science and Engg. Department, IIT Kharagpur.
OTHER ENGAGEMENTS
 Participating in Textual Entailment Recognition System at TAC RTE-6 and TAC RTE 7
 First in novelty task in Textual Entailment Recognition System at TAC-6
 Participated in Ethical Hacking Workshop at SRIJAN 2010
 4th position in programming competition during SRIJAN 2011
 Undergraduate junior researcher in QA project of France
 Undergraduate junior researcher in EILMT project of Govt. of India
 Taking part in system FAQ SMS detection task FIRE 2011 (IIT BOMBAY)
Research Areas
 Opinion Mining
 Multimodal
Sentiment
analysis; Twitter
 Textual Entailment
and
emotion
 WordNet Affect; Detecting multiword
expr.
 Plagiarism Detection; Music analysis
 Question answering
Publications
JCR / CONACYT:
1.
S. Poria, A. Gelbukh, A. Hussain, D. Das, S. Bandopadhyay. Enhanced SenticNet with
Affective Labels for Concept-based Opinion Mining. IEEE Intelligent Systems, ISSN 15411672, 2013. JCR impact factor 2011: 2.154.
2.
P. Pakray, S. Poria, A. Gelbukh, S. Bandyopadhyay. Semantic Textual Entailment
Recognition using UNL. CICLing 2012 / special issue of Polibits 43:23–27, ISSN 18709044, 2011, CONACYT Excellence list.
3.
S. Poria, A. Gelbukh, E. Cambria. EmoSenticNet: A Large Lexical Resource for ConceptLevel Sentiment Analysis. Elsevier Knowledge Based Systems. (To be appeared).
4.
S. Poria, G. Winterstyne, E. Cambria, A. Gelbukh. Dependency-Based Rules for ConceptLevel Sentiment Analysis. Elsevier Knowledge Based Systems. (To be appeared).
5.
S. Poria, E. Cambria, A. Hussain.
Networks. (To be appeared).
Big Multimodal Data Analysis. Elsevier Neural
Book chapters (not derived from conferences):
6.
E. Cambria, M. Grassi, S. Poria, A. Hussain. Sentic Computing for Social Media Analysis,
Representation, and Retrieval. Book chapter. In: Social Media Retrieval. Springer
Network and Communication book Series, ISBN 978-1-4471-4555-4, 2013.
LNCS or IEEE:
7.
Best student paper award.
S. Poria, A. Gelbukh, D. Das, S. Bandyopadhyay. Fuzzy Clustering for Semi-Supervised
Learning—Case study: Construction of an Emotion Lexicon. MICAI 2012. LNCS. Mexico.
8.
S. Poria, A. Gelbukh; E. Cambria, D. Das, S. Bandyopadhyay. Enriching SenticNet Polarity
Scores through Semi-Supervised Fuzzy Clustering. ICDMW SENTIRE 2012, IEEE. Belgium.
9.
P. Pakray, S. Pal, S. Poria, S. Bandyopadhyay, A. Gelbukh. SMSFR: SMS-Based FAQ
Retrieval System. MICAI 2012. LNCS. Mexico.
10.
S. Poria, A. Gelbukh, E. Cambria, A. Hussain, T. Durrani. Merging Senticnet And WordnetAffect Emotion Lists For Sentiment Analysis. ICSP 2012, IEEE. China.
11.
D. Das, S. Poria, S. Bandopadhyay. A classifier based approach of emotion Lexicon
Generation, NLDB 2012. Springer LNCS. Netherlands.
Conferences:
12.
S. Poria, E. Cambria, N. Howard, A. Gelbukh, G. B. Huang. Sentic Parser: A Dependency
Relation Based Concept Miner for Concept Based Opinion Mining. CICLING 2014, Nepal. (To
Be Appeared).
13.
D. Das, S. Poria, S. Bandopadhyay. Building Resources for Multilingual Affect Analysis, A
Case Study on Hindi, Bengali and Telugu. LREC Workshop ES3 2012. Turkey.
14.
P. Pakray, S. Pal, S. Poria, S. Bandyopadhyay. JU_CSE_TAC: Textual Entailment
Recognition System at TAC RTE-7. System report, TAC (Text Analysis Conference)
Recognizing Textual Entailment Track (TAC RTE) Notebook, 2011. USA.
15.
P. Pakray, S. Pal, S. Poria, S. Bandyopadhyay. JU_CSE_TAC: Textual Entailment
Recognition System at TAC RTE-6. System report, TAC (Text Analysis Conference)
Recognizing Textual Entailment Track (TAC RTE) Notebook, 2010. USA.
16.
Soujanya Poria, Alexandar Gelbukh, Amir Hussain, Sivaji Bandyopadhyay, Newton Howard.
Music Genre Classification: A Semi-supervised Approach. MCPR 2013, Springer LNCS.
17.
Saliha Minhas, Soujanya Poria, Amir Hussain, and Khalid Hussainey. "A Review of Artificial
Intelligence and Biologically Inspired Computational Approaches to Solving Issues in
Narrative Financial Disclosure." In Advances in Brain Inspired Cognitive Systems, pp. 317327. Springer Berlin Heidelberg, 2013.
18.
Newton Howard, Soujanya Poria, Rebecca Fahlstrom. “Toward Understanding Analogical
Mapping and Ideological Cataloguing in the Brain” RCIS 2013, Paris, France.