Chin-Sheng Yang - Citegraph

Author Info

Name	Affiliation	Papers
CHIN-SHENG YANG	The Republic of China Army	19
Collaborators	Citations	PageRank
25	94	8.35
Referers	Referees	References
226	493	366

Search Limit

100493

Publications (19 rows)

Collaborators (25 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
A longitudinal study of leader influence in sustaining an online community.	0	0.34	2019
Harnessing consumer reviews for marketing intelligence: a domain-adapted sentiment classification approach.	6	0.40	2015
Mining Social Media for Enhancing Personalized Document Clustering	0	0.34	2015
Exploiting Technological Indicators For Effective Technology Merger And Acquisition (M&A) Predictions	3	0.43	2014
Exploiting poly-lingual documents for improving text categorization effectiveness	1	0.35	2014
Mining Suppliers from Online News Documents.	0	0.34	2013
A Rule-Based Approach For Effective Sentiment Analysis.	2	0.39	2012
Learning a domain-independent classifier for effective sentiment classification: A gloss-based approach.	0	0.34	2011
Predicting the length of hospital stay of burn patients: Comparisons of prediction accuracy among different clinical stages	13	0.70	2010
Automatic Learning of A Supervised Classifier for Patent Prior Art Retrieval.	0	0.34	2010
Understanding what concerns consumers: a semantic approach to product feature extraction from consumer reviews	27	0.83	2010
Extracting customer knowledge from online consumer reviews: a collaborative-filtering-based opinion sentence identification approach	3	0.40	2009
Patent Analysis for Supporting Merger and Acquisition (M&A) Prediction: A Data Mining Approach.	3	0.49	2008
Collaborative Filtering-based Context-Aware Document-Clustering (CF-CAC) Technique.	0	0.34	2008
Managing Word Mismatch Problems in Information Retrieval: A Topic-Based Query Expansion Approach	3	0.36	2008
A collaborative filtering-based approach to personalized document clustering	13	0.64	2008
Combining preference- and content-based approaches for improving document clustering effectiveness	15	0.54	2006
Turning Online Product Reviews To Customer Knowledge: A Semantic-Based Sentiment Classification Approach	5	0.43	2006
Personalized Document Clustering: A Collaborative-Filtering-Based Approach.	0	0.34	2004

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