H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 33 Citations 6,498 295 World Ranking 6868 National Ranking 55

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Natural language processing
  • Machine learning

Hsin-Hsi Chen spends much of his time researching Artificial intelligence, Natural language processing, Information retrieval, Sentence and Automatic summarization. His research investigates the link between Artificial intelligence and topics such as Machine learning that cross with problems in Conditional random field and Mood. His study explores the link between Natural language processing and topics such as Word that cross with problems in Speech recognition.

His Information retrieval research includes elements of Test and Heuristic. Hsin-Hsi Chen interconnects Sentiment analysis, Opinion analysis and Emotion classification in the investigation of issues within Sentence. As a part of the same scientific study, Hsin-Hsi Chen usually deals with the Automatic summarization, concentrating on World Wide Web and frequently concerns with Feature and Internet privacy.

His most cited work include:

  • Opinion Extraction, Summarization and Tracking in News and Blog Corpora. (399 citations)
  • FRank: a ranking method with fidelity loss (178 citations)
  • Emotion Classification Using Web Blog Corpora (172 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Artificial intelligence, Natural language processing, Information retrieval, Sentence and Word. As part of his studies on Artificial intelligence, Hsin-Hsi Chen often connects relevant subjects like Machine learning. His Natural language processing study combines topics from a wide range of disciplines, such as Speech recognition and Translation.

His Information retrieval research is multidisciplinary, incorporating elements of Set and Web page, World Wide Web. Hsin-Hsi Chen works in the field of Word, namely Word embedding. Hsin-Hsi Chen studies Automatic summarization, namely Multi-document summarization.

He most often published in these fields:

  • Artificial intelligence (64.50%)
  • Natural language processing (57.99%)
  • Information retrieval (27.91%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (64.50%)
  • Natural language processing (57.99%)
  • Artificial neural network (4.88%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Artificial intelligence, Natural language processing, Artificial neural network, Social media and Word. Artificial intelligence is closely attributed to Machine learning in his work. The various areas that Hsin-Hsi Chen examines in his Natural language processing study include Domain and Knowledge base.

His study in Artificial neural network is interdisciplinary in nature, drawing from both Context, F1 score and Task analysis. His study on Social media also encompasses disciplines like

  • Finance that connect with fields like Taxonomy, Numeral system, Sentiment analysis and Market sentiment,
  • Personal knowledge base, which have a strong connection to Event and Recall,
  • Lifelog together with Life events, Multimodal learning and Information retrieval. His Sentence research incorporates themes from Chinese as a foreign language, Word usage and Machine translation.

Between 2015 and 2021, his most popular works were:

  • Irony Detection with Attentive Recurrent Neural Networks (16 citations)
  • Numeracy-600K: Learning Numeracy for Detecting Exaggerated Information in Market Comments (12 citations)
  • A Neural Network Approach to Early Risk Detection of Depression and Anorexia on Social Media Text. (9 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Natural language processing
  • Machine learning

Hsin-Hsi Chen focuses on Artificial intelligence, Natural language processing, Artificial neural network, Social media and Word. The study of Artificial intelligence is intertwined with the study of Machine learning in a number of ways. His research ties Representation and Natural language processing together.

His Social media research integrates issues from Lifelog, Personal knowledge base, Knowledge base, Event and Natural language. His Word research focuses on subjects like Numeral system, which are linked to Taxonomy, Finance and Embedding. Hsin-Hsi Chen has researched Word embedding in several fields, including Recurrent neural network, WordNet, Information retrieval, Semantic similarity and Multimodal learning.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Opinion Extraction, Summarization and Tracking in News and Blog Corpora.

Lun-Wei Ku;Yu-Ting Liang;Hsin-Hsi Chen.
national conference on artificial intelligence (2006)

647 Citations

Emotion Classification Using Web Blog Corpora

Changhua Yang;Kevin Hsin-Yih Lin;Hsin-Hsi Chen.
web intelligence (2007)

307 Citations

Mining tables from large scale HTML texts

Hsin-Hsi Chen;Shih-Chung Tsai;Jin-He Tsai.
international conference on computational linguistics (2000)

277 Citations

Mining opinions from the Web: Beyond relevance retrieval

Lun-Wei Ku;Hsin-Hsi Chen.
Journal of the Association for Information Science and Technology (2007)

240 Citations

Novel Association Measures Using Web Search with Double Checking

Hsin-Hsi Chen;Ming-Shun Lin;Yu-Chuan Wei.
meeting of the association for computational linguistics (2006)

219 Citations

FRank: a ranking method with fidelity loss

Ming-Feng Tsai;Tie-Yan Liu;Tao Qin;Hsin-Hsi Chen.
international acm sigir conference on research and development in information retrieval (2007)

197 Citations

Building Emotion Lexicon from Weblog Corpora

Changhua Yang;Kevin Hsin-Yih Lin;Hsin-Hsi Chen.
meeting of the association for computational linguistics (2007)

169 Citations

Overview of Multilingual Opinion Analysis Task at NTCIR-7.

Yohei Seki;David Kirk Evans;Lun-Wei Ku;Le Sun.
Proceedings of the 7th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, Question Answering, and Cross-Lingual Information Access (NTCIR) (Tokyo, Japan) (2008)

166 Citations

What emotions do news articles trigger in their readers

Kevin Hsin-Yih Lin;Changhua Yang;Hsin-Hsi Chen.
international acm sigir conference on research and development in information retrieval (2007)

154 Citations

Emotion Classification of Online News Articles from the Reader's Perspective

Kevin Hsin-Yih Lin;Changhua Yang;Hsin-Hsi Chen.
web intelligence (2008)

152 Citations

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Best Scientists Citing Hsin-Hsi Chen

Bing Liu

Bing Liu

Peking University

Publications: 33

Wen-Lian Hsu

Wen-Lian Hsu

Academia Sinica

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Sivaji Bandyopadhyay

Sivaji Bandyopadhyay

Jadavpur University

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Hsin-Min Wang

Hsin-Min Wang

Academia Sinica

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Erik Cambria

Erik Cambria

Nanyang Technological University

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Tie-Yan Liu

Tie-Yan Liu

Microsoft (United States)

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Kam-Fai Wong

Kam-Fai Wong

Chinese University of Hong Kong

Publications: 17

Hang Li

Hang Li

ByteDance

Publications: 15

Daniel Marcu

Daniel Marcu

University of Southern California

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Tetsuya Sakai

Tetsuya Sakai

Waseda University

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Ming Zhou

Ming Zhou

Sinovation Ventures

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Yutaka Matsuo

Yutaka Matsuo

University of Tokyo

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Kevin Knight

Kevin Knight

University of Southern California

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Amir Hussain

Amir Hussain

Edinburgh Napier University

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Mitsuru Ishizuka

Mitsuru Ishizuka

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Tao Qin

Tao Qin

Microsoft (United States)

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