NDLI: Featuring, Detecting, and Visualizing Human Sentiment in Chinese Micro-Blog

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ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 11

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Issue 4(Special Issue on SIGKDD 2014, Special Issue on BIGCHAT and Regular Papers), July 2016

Introduction to the Special Issue of Best Papers in ACM SIGKDD 2014

Product Selection Problem: Improve Market Share by Learning Consumer Behavior

Catching Synchronized Behaviors in Large Networks: A Graph Mining Approach

Heterogeneous Translated Hashing: A Scalable Solution Towards Multi-Modal Similarity Search

Guest Editorial: Special Issue on Connected Health at Big Data Era (BigChat): A TKDD Special Issue

Kernelized Information-Theoretic Metric Learning for Cancer Diagnosis Using High-Dimensional Molecular Profiling Data

Jointly Modeling Label and Feature Heterogeneity in Medical Informatics

Mining Dual Networks: Models, Algorithms, and Applications

Biomedical Ontology Quality Assurance Using a Big Data Approach

Less is More: Building Selective Anomaly Ensembles

Co-Clustering Structural Temporal Data with Applications to Semiconductor Manufacturing

Inferring Dynamic Diffusion Networks in Online Media

Unsupervised Rare Pattern Mining: A Survey

CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering

Spatial-Proximity Optimization for Rapid Task Group Deployment

Featuring, Detecting, and Visualizing Human Sentiment in Chinese Micro-Blog

Eigen-Optimization on Large Graphs by Edge Manipulation

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ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 9

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ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 1

Featuring, Detecting, and Visualizing Human Sentiment in Chinese Micro-Blog

Content Provider	ACM Digital Library
Author	Guo, Bin Li, Wenjie Wang, Zhitao Chen, Liming Yu, Zhiwen
Copyright Year	2016
Abstract	Micro-blog has been increasingly used for the public to express their opinions, and for organizations to detect public sentiment about social events or public policies. In this article, we examine and identify the key problems of this field, focusing particularly on the characteristics of innovative words, multi-media elements, and hierarchical structure of Chinese “Weibo.” Based on the analysis, we propose a novel approach and develop associated theoretical and technological methods to address these problems. These include a new sentiment word mining method based on three wording metrics and point-wise information, a rule set model for analyzing sentiment features of different linguistic components, and the corresponding methodology for calculating sentiment on multi-granularity considering emoticon elements as auxiliary affective factors. We evaluate our new word discovery and sentiment detection methods on a real-life Chinese micro-blog dataset. Initial results show that our new diction can improve sentiment detection, and they demonstrate that our multi-level rule set method is more effective, with the average accuracy being 10.2% and 1.5% higher than two existing methods for Chinese micro-blog sentiment analysis. In addition, we exploit visualization techniques to study the relationships between online sentiment and real life. The visualization of detected sentiment can help depict temporal patterns and spatial discrepancy.
Starting Page	1
Ending Page	23
Page Count	23
File Format	PDF
ISSN	15564681
e-ISSN	1556472X
DOI	10.1145/2821513
Volume Number	10
Issue Number	4
Journal	ACM Transactions on Knowledge Discovery from Data (TKDD)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-05-24
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Sentiment detection Rule set--based model Sentiment lexicon expansion Visualization
Content Type	Text
Resource Type	Article
Subject	Computer Science

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Chinese Micro-Blog Sentiment Analysis Based on Multiple Sentiment Dictionaries and Semantic Rule Sets

Stock market forecasting with financial micro-blog based on sentiment and time series analysis

Sentiment analysis of Chinese micro-blog using semantic sentiment space model

Sentiment analysis for Chinese text based on emotion degree lexicon and cognitive theories

Hybrid model based sentiment classification of Chinese micro-blog

Research on building chinese micro-blog semantic lexicon

Time-space varying visual analysis of micro-blog sentiment

Data from: Lexicon-enhanced sentiment analysis framework using rule-based classification scheme (Dataset)

The Method for Extracting New Login Sentiment Words from Chinese Micro-Blog Basedf on Improved Mutual Information

Featuring, Detecting, and Visualizing Human Sentiment in Chinese Micro-Blog

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