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SENTIRE 2014 : 4th edition of Sentiment Elicitation from Natural Text for Information Retrieval and Extraction

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Link: http://ttp://sentic.net/sentire
 
When Dec 1, 2014 - Dec 14, 2014
Where Shenzhen, China
Submission Deadline Aug 1, 2014
Notification Due Sep 26, 2014
Final Version Due Oct 20, 2014
Categories    NLP   information retrieval
 

Call For Papers



Apologies for cross-posting,

Submissions are invited for the 4th edition of Sentiment Elicitation from
Natural Text for Information Retrieval and Extraction (SENTIRE), the IEEE ICDM
workshop series on opinion mining. The term SENTIRE comes from the Latin feel
and it is root of words such as sentiment and sensation. SENTIRE aims to provide
an international forum for researchers in the field of opinion mining and
sentiment analysis to share information on their latest investigations in social
information retrieval and their applications both in academic research areas and
industrial sectors. The broader context of the workshop comprehends Web mining,
AI, Semantic Web, information retrieval and natural language processing. The
workshop is going to be held in Shenzhen on 14th December 2014. For more
information, please visit: http://sentic.net/sentire

RATIONALE
Memory and data capacities double approximately every two years and, apparently,
the Web is following the same rule. User-generated contents, in particular, are
an ever-growing source of opinion and sentiments which are continuously spread
worldwide through blogs, wikis, fora, chats and social networks. The
distillation of knowledge from such sources is a key factor for applications in
fields such as commerce, tourism, education and health, but the quantity and the
nature of the contents they generate make it a very difficult task. Due to such
challenging research problems and wide variety of practical applications,
opinion mining and sentiment analysis have become very active research areas in
the last decade.

Our understanding and knowledge of the problem and its solution are still
limited as natural language understanding techniques are still pretty weak. Most
of current research in sentiment analysis, in fact, merely relies on machine
learning algorithms. Such algorithms, despite most of them being very effective,
produce no human understandable results such that we know little about how and
why output values are obtained. All such approaches, moreover, rely on
syntactical structure of text, which is far from the way human mind processes
natural language. Next-generation opinion mining systems should employ
techniques capable to better grasp the conceptual rules that govern sentiment
and the clues that can convey these concepts from realization to verbalization
in the human mind.

TOPICS
SENTIRE aims to provide an international forum for researchers in the field of
opinion mining and sentiment analysis to share information on their latest
investigations in social information retrieval and their applications both in
academic research areas and industrial sectors. The broader context of the
workshop comprehends Web mining, AI, Semantic Web, information retrieval and
natural language processing. Topics of interest include but are not limited to:
• Sentiment identification & classification
• Opinion and sentiment summarization & visualization
• Explicit & latent semantic analysis for sentiment mining
• Concept-level opinion and sentiment analysis
• Sentic computing
• Opinion and sentiment search & retrieval
• Time evolving opinion & sentiment analysis
• Semantic multidimensional scaling for sentiment analysis
• Multidomain & cross-domain evaluation
• Domain adaptation for sentiment classification
• Multimodal sentiment analysis
• Multimodal fusion for continuous interpretation of semantics
• Multilingual sentiment analysis & re-use of knowledge bases
• Knowledge base construction & integration with opinion analysis
• Transfer learning of opinion & sentiment with knowledge bases
• Sentiment corpora & annotation
• Affective knowledge acquisition for sentiment analysis
• Biologically inspired opinion mining
• Sentiment topic detection & trend discovery
• Big social data analysis
• Social ranking
• Social network analysis
• Social media marketing
• Comparative opinion analysis
• Opinion spam detection

TIMEFRAME
• August 1st, 2014: Submission deadline
• September 26th, 2014: Notification of acceptance
• October 20th, 2014: Final manuscripts due
• December 14th, 2014: Workshop date

SUBMISSIONS AND PROCEEDINGS
Authors are required to follow IEEE Computer Society Press Proceedings Author
Guidelines. The paper length is limited to 10 pages, including references,
diagrams, and appendices, if any. Manuscripts are to be submitted through
EasyChair. Each submitted paper will be evaluated by three PC members with
respect to its novelty, significance, technical soundness, presentation, and
experiments. Accepted papers will be published in IEEE ICDM proceedings.
Selected, expanded versions of papers presented at the workshop will be invited
to a forthcoming Special Issue of Cognitive Computation on opinion mining and
sentiment analysis.

ORGANIZERS
• Erik Cambria, Nanyang Technological University (Singapore)
• Bing Liu, University of Illinois at Chicago (USA)
• Yunqing Xia, Tsinghua University (China)
• Yongzheng Zhang, LinkedIn Inc. (USA)

Related Resources

LTA 2017   2nd International Workshop on Language Technologies and Applications
CIKM 2017   The 26th 2017 ACM Conference on Information and Knowledge Management
LREC 2018   Language Resources and Evaluation Conference
WISDOM 2017   6th KDD Workshop on Issues of Sentiment Discovery and Opinion Mining
LT 2017   Special Session on Language Technologies
ArgMinining 2017   4th Workshop on Argument Mining, in conjunction with EMNLP 2017
DTWSM 2017   The 4th International Workshop on Data, Text, Web, and Social Network Mining
IJNLC 2017   International Journal on Natural Language Computing
NLPCC 2017   The Sixth Conference on Natural Language Processing and Chinese Computing (NLPCC 2017)
ANLP 2017   SIMBig 2017 - Special Track on Applied Natural Language Processing