The importance of neutral examples for learning sentiment

被引：79
|
作者：
Koppel, Moshe [1 ]
Schler, Jonathan [1 ]
机构：
[1] Bar Ilan Univ, Dept Comp Sci, Ramat Gan, Israel
来源：
COMPUTATIONAL INTELLIGENCE | 2006年 / 22卷 / 02期
关键词：
sentiment analysis; text categorization; machine learning;
D O I：
10.1111/j.1467-8640.2006.00276.x
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Most research on learning to identify sentiment ignores "neutral" examples, learning only from examples of significant (positive or negative) polarity. We show that it is crucial to use neutral examples in learning polarity for a variety of reasons. Learning from negative and positive examples alone will not permit accurate classification of neutral examples. Moreover, the use of neutral training examples in learning facilitates better distinction between positive and negative examples.
引用
收藏
页码：100 / 109
页数：10
相关论文
共 50 条
  • [41] A machine learning approach for urdu text sentiment analysis
    Akhtar, Muhammad
    Shoukat, Rana Saud
    Rehman, Saif Ur
    MEHRAN UNIVERSITY RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY, 2023, 42 (02) : 75 - 87
  • [42] Applying Transfer Learning to Sentiment Analysis in Social Media
    de Arriba, Ariadna
    Oriol, Marc
    Franch, Xavier
    29TH IEEE INTERNATIONAL REQUIREMENTS ENGINEERING CONFERENCE WORKSHOPS (REW 2021), 2021, : 342 - 348
  • [43] Survey of Sentiment Analysis Using Deep Learning Techniques
    Prabha, Indhra Om M.
    Srikanth, G. Umarani
    PROCEEDINGS OF 2019 1ST INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION AND COMMUNICATION TECHNOLOGY (ICIICT 2019), 2019,
  • [44] Sentiment Analysis for Polish Using Transfer Learning Approach
    Bartusiak, Roman
    Augustyniak, Lukasz
    Kajdanowicz, Tomasz
    Kazienko, Przemyslaw
    SECOND EUROPEAN NETWORK INTELLIGENCE CONFERENCE (ENIC 2015), 2015, : 53 - 59
  • [45] Deep Learning Approach for Negation Handling in Sentiment Analysis
    Singh, Prakash Kumar
    Paul, Sanchita
    IEEE ACCESS, 2021, 9 (09): : 102579 - 102592
  • [46] Sentiment Analysis for Tourism Insights: A Machine Learning Approach
    Charfaoui, Kenza
    Mussard, Stephane
    STATS, 2024, 7 (04):
  • [47] Neutral or Negative? Sentiment Evaluation in Reviews of Hosting Services
    Santos, Gustavo
    Santos, Marcelo
    Mota, Vinicius F. S.
    Benevenuto, Fabricio
    Silva, Thiago H.
    WEBMEDIA'18: PROCEEDINGS OF THE 24TH BRAZILIAN SYMPOSIUM ON MULTIMEDIA AND THE WEB, 2018, : 346 - 353
  • [48] Neutral or Framed? A Sentiment Analysis of 2019 Abortion Laws
    Danny Valdez
    Patricia Goodson
    Sexuality Research and Social Policy, 2022, 19 : 936 - 945
  • [49] SENTIMENT ANALYSIS RELOADED A Comparative Study on Sentiment Polarity Identification Combining Machine Learning and Subjectivity Features
    Waltinger, Ulli
    WEBIST 2010: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON WEB INFORMATION SYSTEMS AND TECHNOLOGY, VOL 1, 2010, : 203 - 210
  • [50] Public Mood–Driven Asset Allocation: the Importance of Financial Sentiment in Portfolio Management
    Lorenzo Malandri
    Frank Z. Xing
    Carlotta Orsenigo
    Carlo Vercellis
    Erik Cambria
    Cognitive Computation, 2018, 10 : 1167 - 1176
12345