Knowledge Represention for Context and Sentiment Analysis

被引：0
|
作者：
Fakinlede, Ireti [1 ]
Kumar, Vive [1 ]
Wen, Dunwei [1 ]
机构：
[1] Athabasca Univ, Sch Comp & Informat Syst, Athabasca, AB, Canada
来源：
2013 IEEE 13TH INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT 2013) | 2013年
关键词：
knowledge representation; sentiment analysis; anthropomorphic agents; social context; semantic roles; natural language processing;
D O I：
10.1109/ICALT.2013.158
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper presents a knowledge representation framework for natural language understanding. Here we propose an automated knowledge acquisition mechanism that mirrors information extraction in human-human interaction. This framework utilizes knowledge based automatic role labeling and automatic concept learning together with a conceptual structure that captures intent and context. The resulting framework is to be used to improve the agent's ability to engage in social interaction with humans.
引用
收藏
页码：493 / 494
页数：2
相关论文
共 50 条
  • [1] Enhancing implicit sentiment analysis via knowledge enhancement and context information
    Yanying Mao
    Qun Liu
    Yu Zhang
    Complex & Intelligent Systems, 2025, 11 (5)
  • [2] Sentiment and Context-refined Word Embeddings for Sentiment Analysis
    Deniz, Ayca
    Angin, Merih
    Angin, Pelin
    2021 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2021, : 927 - 932
  • [3] The Importance of Context for Sentiment Analysis in Dialogues
    Carvalho, Isabel
    Oliveira, Hugo Goncalo
    Silva, Catarina
    IEEE ACCESS, 2023, 11 : 86088 - 86103
  • [4] The Multifaceted Concept of Context in Sentiment Analysis
    Kumar, Akshi
    Garg, Geetanjali
    COGNITIVE INFORMATICS AND SOFT COMPUTING, 2020, 1040 : 413 - 421
  • [5] Topology Represention and Analysis of Carton Manipulation
    Wei, Guowu
    Zhang, Ruirui
    Dai, Jian S.
    11TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV 2010), 2010, : 157 - 162
  • [6] Incorporating sentiment prior knowledge for weakly supervised sentiment analysis
    He, Yulan
    He, Y. (y.he@cantab.net), 2012, Association for Computing Machinery (11):
  • [7] Context Extraction for Aspect-Based Sentiment Analytics: Combining Syntactic, Lexical and Sentiment Knowledge
    Bandhakavi, Anil
    Wiratunga, Nirmalie
    Massie, Stewart
    Luhar, Rushi
    ARTIFICIAL INTELLIGENCE XXXV (AI 2018), 2018, 11311 : 357 - 371
  • [8] Capture Commonsense Knowledge for Sentiment Analysis
    Zhang, Hongming
    Liu, Zhaoyu
    Song, Yangqiu
    2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING (BIGCOMP), 2018, : 767 - 770
  • [9] An Approach to Track Context Switches in Sentiment Analysis
    Sharma, Srishti
    Chakraverty, Shampa
    PROGRESS IN ADVANCED COMPUTING AND INTELLIGENT ENGINEERING, VOL 2, 2018, 564 : 273 - 282
  • [10] Evaluating Sentiment Analysis in the Context of Securities Trading
    Kazemian, Siavash
    Zhao, Shunan
    Penn, Gerald
    PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1, 2016, : 2094 - 2103
12345