WIA-Opinmine System in NTCIR-8 MOAT Evaluation

نویسندگان

  • Lanjun Zhou
  • Yunqing Xia
  • Binyang Li
  • Kam-Fai Wong
چکیده

This paper presents WIA-Opinmine system developed by CUHK_Tsinghua Web Information Analysis (WIA) Virtual Research Center for NTCIR-8 MOAT Task. The system is deemed special due to three facts. Firstly, the system is able to handle Simplified Chinese and Traditional Chinese at the same time. A tool is developed to convert Traditional Chinese into Simplified Chinese before opinion analysis. Secondly, a topic model based algorithm is found effective in relevance judgment. A co-clustering algorithm is incorporated in topic modeling. Thirdly, a ranking method is adopted to rank all holder (A0's) and target (A1's) candidates recognized by a semantic role labeling tool during which topic models for each topic are fully used for judging the importance of all candidates. The NTCIR8 evaluation results as well as the post-NTCIR8 results show that our system could effectively recognize relevance sentences, opinionated sentences and polarities.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Coarse-Fine Opinion Mining - WIA in NTCIR-7 MOAT Task

This paper presents an opinion analysis system developed by CUHK_PolyU_Tsinghua Web Information Analysis Group (WIA), namely WIA-Opinmine, for NTCIR-7 MOAT Task. Different from most existing opinion mining systems, which recognize opinionated sentences as one-step classification procedure, WIAOpinmine adopts a multi-pass coarse-fine analysis strategy. A base classifier firstly coarsely estimate...

متن کامل

Opinmine - Opinion Analysis System by CUHK for NTCIR-6 Pilot Task

This paper presents the CUHK opinion analysis system, namely Opinmine, for the NTCIR-6 pilot task. Opinmine comprises of three functional modules: (1) Preprocessing and Assignment Module (PAM) performs word segmentation, part-of-speech (POS) tagging and named entity recognition on the input Chinese text. It is based on lexicalized Hidden Markov Model and heuristic rules. (2) Knowledge Acquisiti...

متن کامل

PKUTM Experiments in NTCIR-8 MOAT Task

This paper describes our work in the Simplified Chinese opinion analysis tasks in NTCIR-8. In the task of detecting opinioned sentences, various sentiment lexicons are used, including opinion indicators, opinion operators, degree adverbs and opinion words. The linear SVM model is selected as the main classifier, and four groups of features are extracted according to punctuations, words and sent...

متن کامل

Incorporating Feature-based and Similarity-based Opinion Mining - CTL in NTCIR-8 MOAT

This paper presents the design and implementation of an opinion mining system developed by NLPCity group for NTCIR-8 MOAT evaluation, named CTL-OM. CTL-OM incorporates two opinion mining approach, namely feature-based approach and similaritybased approach. The feature-based approach incorporates computational features at punctuation-, word-, collocation-, phrase-, sentence-, paragraphand docume...

متن کامل

PolyU at MOAT in NTCIR-8

In this paper, we briefly summarize our experience in participating in the Multilingual Opinion Analysis (MOAT) tasks in NTCIR-8 and present our preliminary experimental analysis of the effects of the opinion lexicons employed in Chinese opinion mining.

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010