Sentic Team is like a jazz band: all together we play the intriguing riff of affective computing and sentiment analysis but each of us is also playing solo the countermelodies of subjectivity detection, aspect extraction, microtext analysis, anaphora resolution, named entity recognition, knowledge representation and reasoning, sarcasm detection, multimodal HCI, and more. We are located at the Computational Intelligence Lab in the School of Computer Science and Engineering of Nanyang Technological University, Singapore.
The team currently consists of 5 postdocs, 8 PhD students, 10 full-time reseach staff, plus several interns, part-time researchers, and visiting collaborators. Each team member is contactable via email at firstname.lastname@example.org. For general info about SenticNet, you can write to email@example.com. If interested in using SenticNet for your company, please visit our corporate website or contact us at firstname.lastname@example.org.
Erik Cambria received his PhD in Computing Science and Mathematics in 2012 following the completion of an EPSRC project in collaboration with MIT Media Lab, which was selected as impact case study by the University of Stirling for the UK Research Excellence Framework (REF2014). After working at HP Labs India, Microsoft Research Asia, and NUS Temasek Labs, in 2014 Dr Cambria joined NTU School of Computer Science and Engineering as an Assistant Professor. His current affiliations also include Rolls-Royce@NTU, Delta@NTU, A*STAR IHPC, MIT Synthetic Intelligence Lab, and the Brain Sciences Foundation. He is Associate Editor of Elsevier INFFUS, KBS and IPM, Springer AIRE and Cognitive Computation, IEEE CIM, and Editor of the IEEE IS Department on Affective Computing and Sentiment Analysis, fields in which he is one of the most productive authors. Dr Cambria is also recipient of several awards, e.g., the Temasek Research Fellowship, and is involved in many international conferences as Workshop Organizer, e.g., ICDM and KDD, PC Member, e.g., AAAI and ACL, Program Chair, e.g., ELM and FLAIRS, and Keynote Speaker, e.g., CICLing.
Soujanya Poria received his BEng in Computer Science from Jadavpur University, India, in 2013. In the same year, he received the best undergraduate thesis and researcher award from Jadavpur University and was awarded Gold Plated Silver medal from the University and Tata Consultancy Service for his final year project during his undergraduate course. Soon after, Soujanya joined Nanyang Technological University as a research engineer in the School of Electrical and Electronics Engineering and, later in 2015, he joined NTU Temasek Laboratories, where he is now conducting research on aspect-based sentiment analysis in multiple domains and different modalities. In parallel with his research activities in Singapore, Soujanya is also in the process of finalizing his PhD studies in Computing Science and Mathematics at the University of Stirling, UK.
Rajiv Bajpai received his B.E Electronics from Jiwaji University Gwalior, India, in 2007. After working as a Network Engineer for two years, he was awarded with a MIUR Fellowship in ‘Web and Multimedia Technology’ and moved to Genoa, Italy. In 2013, he was awarded his PhD from DITEN (University of Genoa, Italy) following the completion of the HEAP Project, which included an internship at KTH Stockholm. Today, Rajiv is a postdoc in the Sentic Team, where he supervises many students and interns in the context of knowledge engineering and SenticNet maintainance in many different languages and in different modalities.
Iti Chaturvedi obtained her Bachelors in Computer Engineering from the National University of Singapore in 2002, and her PhD in Dynamic Graphical Models from the School of Computer Science and Engineering of Nanyang Technological University in 2014. She is currently working as a Research Fellow in the Computational Intelligence Research Lab at NTU School of Computer Science and Engineering. Her main research interests are deep learning, convolutional neural networks and time series modeling, which she applies in many different areas including subjectivity detection, multimodal sentiment analysis, and video classification.
Ankit Kumar Das received the B.Tech in Information Technology from Silicon Institute of Technology, India, in 2008. After thirty three months of industrial experience as a Software Engineer, he was awarded a PhD scholarship from Nanyang Technological University in 2012. While working towards the PhD degree (expected graduation: 2016), he is working with the Sentic Team on a project for user profiling and opinion mining in the context of nuclear energy. His research interest includes data analytics, machine learning and brain computer interfaces.
Ceyda Sanli is an expert of human behavior and communication. She applies sentiment analysis, data mining, and nonlinear time-series analysis to large-scale social media data in order to uncover salient relations between small-scale temporal online communication and large-scale complex heterogeneous events such as popularity, social movements, and development periods of societies. Sanli received BSc and MSc degrees in Physics from Bilkent University in 2006 and 2008, respectively. In 2012, she got her PhD in Complex Systems in Physics from the University of Twente. Before joining the Sentic Team, Sanli worked in the Complex Networks group at the University of Namur on time-dependent analysis of user communication and user popularity in Twitter.
Ha-Nguyen Tran received his Bachelor of Engineering in Software Engineering from Hanoi University of Science and Technology in 2009. He has a 3-year industrial experience as Software Developer in the field of Parallel and Distributed Systems and Telecommunication Systems. In 2017, he was awarded his PhD certificate by Nanyang Technological University under the supervision of Dr Cambria with a thesis entitled "GPU-based Commonsense Paradigms Reasoning for Real-Time Query Answering and Multimodal Analysis". His main research interests include graph databases, graph mining, rdf querying and reasoning, and query processing with GPUs.
Haiyun Peng received his Bachelor of Engineering in automation from Wuhan University in 2013. After that, he obtained his Master of Science in Signal processing from Nanyang Technological University. He is currently a PhD student under the supervision of Erik Cambria in the School of Computer Science and Engineering in Nanyang Technological University. His main research interests are concept-level natural language processing and multi-modal sentiment analysis, both in English and Chinese language.
Sandro Cavallari received his BEng in Telecommunication Engineering in 2012 and his MEng in Computer Science in 2015 both from the University of Trento. After finalizing his thesis at the ADSC of Singapore in collaboration with the University of Illinois at Urbana Champaign, he started his PhD at Nanyang Technological University in 2015 under the supervision of Dr Cambria after being awarded the prestigious SINGA scholarship. His research areas include natural language processing, big data analytics, machine learning, sentiment analysis and time series analysis.
Yukun Ma received his Bachelor of Engineering in 2010 from Beijing University of Posts and Telecommunications, China, and Master of Science in 2011 from the University of Edinburgh, UK. He is now a PhD student of Rolls-Royce@NTU Corporate Lab under the supervision of Erik Cambria. His research is mainly about concept recognition from conversational speech, fine-grained named entity recognition and distributional semantics.
Frank Xing received his Bachelor of Science in Information Management and Bachelor of Arts in Economics, both from Peking University in 2015. Today, he is a PhD student in the School of Computer Science and Engineering at Nanyang Technological University under the supervision of Erik Cambria. His main research interests include sentiment analysis, Bayesian methods and stochastic processes. For his PhD, he is developing a computational model that accounts for investor sentiment and attention to predict key stock market variables, such as returns, volatility and volume.
Ranjan Satapathy was awarded his B.Tech degree by IIIT-Bhubaneswar, India in 2009, and, in 2016, he pursued his M.Tech from School of Computer and Information Sciences, UoH, India. Having frantic learning interest in research oriented study, he started working as Research Assistant in TL@NTU, Singapore, before finishing his masters and he is now a PhD student of Dr Erik Cambria in the School of Computer Science and Engineering under the co-supervision of Profs Shirley Ho and Jin Cheon Na from the Wee Kim Wee School of Communication and Information. His research interests include machine learning, recommender systems and sentiment analysis.
Chen Qian received her Bachelor of Mathematics from Dalian University of Technology in 2015 with major on Information and Computational Science. She is currently a PhD student under the supervision of Erik Cambria in the School of Computer Science and Engineering at Nanyang Technological University. Her main research interests are image processing and machine learning. She is working on the contruction of ImageSenticNet, a visual commonsense knowledge base for image sentiment analysis.
Ikhlas Alhussien is a PhD student at NTU School of Computer Science and Engineering, since January 2015. Her primary research interests lie in the fields of data mining, applied machine learning, and sentiment analysis. Her current researches focus on developing graph mining techniques for information and semantic networks analysis. She is a recipient of SINGA scholarship awarded by A*STAR and conducting her research in joint collaboration between NTU and SIMTech. Ikhlas has a Bachelor's degree in Computer Engineering from Jordan University of Science and Technology, Jordan. Before joining NTU, she worked as a research assistant at Masdar Institute, UAE. Ikhlas is advised by Prof Erik Cambria, and co-advised by Dr Zhang Nengsheng.
Claudia Guerreiro obtained her Bachelor degree in Business Administration and Management from Universidade Católica Portuguesa in 2012 and her Master degree of International Tourism and Hotel Management from the Southern Cross University, Australia in 2015. She has nearly 2 years of employment experience in the field of tourism and hospitality. Also, she is often involved in numerous projects including the SACEOS MICE Challenge 2015 as she continuously seeks for excellence and improvement to achieve more and more in less and less time. Since 2015, she has started working with NTU Temasek Laboratories as a Research Associate. Her research interests are focused on the use of social media and artificial intelligence for the tourism and hospitality industry.
Danyuan Ho received his Bachelor and Master of Arts in Linguistics and Multilingual Studies from Nanyang Technological University in 2013 and 2016, respectively. He is currently working at Temasek Laboratories as a Research Associate. Having received training in the scientific study of language, he puts his knowledge into practical application and he works on the computational modelling of human language with researchers of various disciplinary focuses. His main research interests are natural language and speech processing, language representation, and Singapore Colloquial English.
Diyana Hamzah obtained her Bachelor and Master of Arts degree in Linguistics and Multilingual Studies from NTU in 2013 and 2016, respectively. Upon the completion of her thesis in 2015, she worked as a project officer in the NTU Linguistics department for a year, during which she did research on the phonology of Singapore Malay intonation, and the interaction between intonational phonology and morphology in Malay. She is currently working at NTU Temasek Laboratories as a Research Associate. Her research interests include phonology, phonetics and natural language and speech processing. Having worked on the phonology, morphology, syntax and semantics of various Malay and English varieties, she is now working in the context of Singlish sentiment analysis.
Anupam Mondal received his BEng in 2007 from the Department of Information Technology, Jadavpur University, India. He was awarded his M. Tech degree in 2010 from the Department of Computer Science and Engineering, Kalyani University, India. He is pursing his PhD from Jadavpur University, India, under the co-supervision of Dr Erik Cambria. Anupam is now working as a Research Associate at Rolls-Royce@NTU Corporate Lab, Singapore. Before joining Rolls-Royce@NTU, he was an Assistant Professor at JIS College of Engineering, India. His research interests are medical data processing, sentiment analysis and knowledge extraction.
Quanchi Weng received his Bachelor of Engineering in Automation from Nanjing University of Science and Technology, China, in 2015. After that, he obtained his Master of Science in Computer Control and Automation from Nanyang Technological University, Singapore, in 2016. Today, Quanchi is a Research Assistant at Rolls-Royce@NTU Corporate Lab. His main research interests are natural language processing, knowledge representation and sentiment analysis.
Priya Asthana received her Masters in Mathematics from Indian Institute of Technology, Kanpur. She has 6 years of global experience with leading financial institutions as a Data Analyst. She is currently a Research Associate under the supervision of Erik Cambria in the School of Computer Science and Engineering in Nanyang Technological University. Her main research interests are machine learning and natural language processing and their applications to social media marketing.
Hao Zhang received his Bachelor of Science in Communications Engineering from Dalian University of Technology, China, in 2015. In the same year, he received the outstanding undergraduate with technological innovation award. After that, he obtained the Master of Science in Communications Engineering from Nanyang Technological University, Singapore. Currently, he is a Research Associate in NTU Temasek Laboratories, where he is now under the supervision of Erik Cambria. His research interest includes image processing and recognition, commonsense knowledge representation and reasoning.
Xiwen Yang obtained her Bachelor of Engineering from Hunan University, China in 2015, and her Master of Science from Nanyang Technological University, Singapore in 2016, both majored in Communications Engineering. Currently, she is a Research Associate under the supervision of Erik Cambria in NTU Temasek Laboratories. She is also affilaited to A*STAR IHPC in the context of a project on commmon-sense reasoning and natural language processing. Her research research interests also include knowledge representation, data analytics and sentiment analysis.
Xiaomei Zou received her Bachelor of Computer Science and Technology from China University of Mining and Technology, in 2013. She is currently pursuing her PhD studies and is a visiting researcher in the School of Computer Science and Engineering at Nanyang Technological University, under the supervision of Erik Cambria. Her main research interests are sentiment analysis, social network analysis and machine learning.
Yang Li Obtained his Bachelor of Information Security from Northwestern Polytechnical University in 2014, and he is currently a 3rd-year PhD student in the same University. Currently, he is a visiting student under the supervision of Erik Cambria in the School of Computer Science and Engineering in Nanyang Technological University. His main research interests are sentiment analysis, deep learning, and knowledge representation.
David Vilares obtained his BEng and MEng in Computer Science from the University of A Coruña (Spain) in 2012 and 2014, respectively. He is currently a PhD student in natural language processing at the same university, after being awarded with a FPU Spanish research and teaching fellowship. His main research interests are: sentiment analysis, machine learning for natural language processing and social behaviour on noisy social media.
Dheeraj Rajagopal (now at CMU)
Prerna Chikersal (now at CMU)
Devamanyu Hazarika (now at NUS)
Siaw Ling Lo (now at Nanyang Polytechnic)
Nir Ofek (now at University of the Negev)
Chen Gui (now working for DBS)
Federica Bisio (now working for aizoOn S.r.l.)
Bebo White (Stanford, USA)
Andrew Ortony (Northwestern University, USA)
Andre Possani Espinosa (ITAM, Mexico)
Newton Howard (MIT Media Lab, USA)
Stefano Squartini (Marche Polytechnic University, Italy)
Amit Sheth (Kno.e.sis, USA)
Andrés Gómez de Silva Garza (ITAM, Mexico)
Luca Oneto (University of Genoa, Italy)
Alexander Gelbukh (Instituto Politécnico Nacional, Mexico)
JOINING THE TEAM
If you plan to join the Sentic Team, please beware that the way we work is rather unconventional. Like in a jazz band, there are no music sheets and there is no maestro. We'll show you the contour of the tunes we play, but then it's up to you to decide which instrument to choose, what to play, and who to play with. In other words, we will not tell you what to do, instead we will help you boost your creativity and, ultimately, just express yourself. If you are willing to join us for a short period, you should take a look at NTU global programs, e.g., the Summer Research Internship (SRI) program and NTU-India Connect. If you get accepted by any of such programs, you can directly join us. If not, you can still contact Rajiv to check whether there are any extra slots for interns. Since there is a limit on the number of interns we can host, please expect Rajiv to ask you to undergo a small test. Please note that sending an internship request to Erik in stead of Rajiv may result in significant delays. If you want to join us for a longer period, please consider applying for PhD at NTU. A good number of scholarships is also available, e.g., Singapore International Graduate Award (SINGA) and Nanyang President's Graduate Scholarship.
10 GOLDEN SKILLS FOR WORKING WITH US
Please note that we receive dozens of applications for internship and PhD every month, which forces us to be rather selective. Before you contact us, please beware that we will expect you to:
1) be passionate about sentiment analysis research
2) be excited (not scared!) about new challenges
3) have a sense of sentiment analysis literature
4) know how to write in Latex (we do not like Word, sorry!)
5) know the basics of Python programming
6) be rather independent in developing your own ideas
7) have read (and understood!) the book on sentic computing
8) have some basic knowledge of natural language processing
9) have some basic knowledge of machine learning
10) be willing to interact with the rest of the Sentic Team