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A low-resources approach to Opinion Analysis: Machine Learning and Simple Approaches
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In: http://davidkirkevans.com/Publications_files/2007_05_NTCIR.pdf (2007)
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| 2 |
A low-resources approach to Opinion Analysis: Machine Learning and Simple Approaches
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings6/NTCIR/66.pdf (2007)
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Opinion analysis across languages: An overview of and observations from the ntcir6 opinion analysis pilot task
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In: http://nlg.csie.ntu.edu.tw/conference_papers/wilf2007.pdf (2007)
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ABSTRACT Identifying Similarity in Text: Multi-Lingual Analysis for Summarization
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In: http://www1.cs.columbia.edu/nlp/theses/dave_evans.pdf (2005)
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Similarity-based Multilingual Multi-Document Summarization
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In: http://www.cs.columbia.edu/nlp/papers/2005/evans_al_05.pdf (2005)
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Columbia newsblaster: multilingual news summarization on the web
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In: http://www.cs.columbia.edu/%7Edevans/papers/mlNewsblaster.pdf (2004)
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A Platform for Multilingual News Summarization Paper ID: Multilingual-Summarization-CU
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In: http://www.cs.columbia.edu/techreports/cucs-014-03.pdf (2003)
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A Platform for Multilingual . . .
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In: http://www.cs.columbia.edu/~library/TR-repository/reports/reports-2003/cucs-014-03.ps.gz (2003)
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| 9 |
1. NTCIR Cross-Language Retrieval
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In: http://www.lrec-conf.org/proceedings/lrec2008/pdf/363_paper.pdf
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| 10 |
1. NTCIR Cross-Language Retrieval
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In: http://www.mt-archive.info/LREC-2008-Gey.pdf
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| 11 |
Opinion Analysis across languages: An Overview of and Observations from the NTCIR6 Opinion Analysis Pilot Task
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In: http://nlg18.csie.ntu.edu.tw:8080/opinion/clip2007.pdf
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Abstract:
Abstract. In this paper we introduce the NTCIR6 Opinion Analysis Pilot Task, information about the Chinese, Japanese, and English data, plans for future opinion analysis tasks at NTCIR, and a brief overview of the evaluation results. This pilot task is a sentence-level opinion identification and polarity detection task run over data from a comparable corpus in three languages: Chinese, English, and Japanese. We have manually annotated documents for this task in each language, producing what we believe to be the first multilingual opinion analysis data set over comparable data. Six participants submitted Chinese system results, three Japanese, and six English for this pilot task. We plan to release the data to the research community, and hope to spur further research into cross-lingual opinion analysis and its use in other NLP tasks. In particular, we look forward to researchers using this data to investigate cross-cultural perspective differences based on automatic sentiment analysis. 1
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.124.9374
http://nlg18.csie.ntu.edu.tw:8080/opinion/clip2007.pdf
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| 12 |
Multi-lingual Opinion Analysis Applied to World News: A Case Study
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In: http://davidkirkevans.com/Publications_files/2007.03.jnlp.pdf
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