Sentiment Analysis: Automated Evaluation Using Natural Language Processing

被引：0
|
作者：
Novak, Michal [1 ]
机构：
[1] Univ Econ, Fac Management, Prague 37701, Jindrichuv Hrad, Czech Republic
来源：
CREATING GLOBAL COMPETITIVE ECONOMIES: 2020 VISION PLANNING & IMPLEMENTATION, VOLS 1-3 | 2013年
关键词：
sentiment analysis; NLP; automated evaluation; customer satisfaction; product reviews;
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
Knowing what consumers think has always been a prized marketing commodity. Opinion polls, surveys of customer preferences and media monitoring are an integral part of business activities. The development of modern technology is becoming a significant shift to the online marketing communications. Analysis of attitudes and moods (commonly known as sentiment analysis) is quite difficult, especially if done automatically without human assistance. Development of tools for automated sentiment evaluation deals with this issue.
引用
收藏
页码：973 / 975
页数：3
相关论文
共 50 条
  • [1] Performance Evaluation of Natural Language Processing Algorithms for Sentiment Analysis
    S. H. Annie Silviya
    S. Julia Faith
    R. Seetha
    M. Hemalatha
    SN Computer Science, 5 (6)
  • [2] Natural Language Processing for Sentiment Analysis
    Chong, Wei Yen
    Selvaretnam, Bhawani
    Soon, Lay-Ki
    PROCEEDINGS 2014 4TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE WITH APPLICATIONS IN ENGINEERING AND TECHNOLOGY ICAIET 2014, 2014, : 212 - 217
  • [3] Natural Language Processing for the Analysis Sentiment using a LSTM Model
    Berrajaa, Achraf
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2022, 13 (05) : 777 - 785
  • [4] Natural Language Processing on Marketplace Product Review Sentiment Analysis
    Rohman, Arif Nur
    Musyarofah, Rizqa Luviana
    Utami, Ema
    Raharjo, Suwanto
    PROCEEDINGS OF ICORIS 2020: 2020 THE 2ND INTERNATIONAL CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEM (ICORIS), 2020, : 223 - 227
  • [5] Performance Evaluation of Reddit Comments Using Machine Learning and Natural Language Processing Methods in Sentiment Analysis
    Zhang, Xiaoxia
    Qi, Xiuyuan
    Teng, Zixin
    COMPUTATIONAL AND EXPERIMENTAL SIMULATIONS IN ENGINEERING, ICCES 2024-VOL 2, 2025, 173 : 14 - 24
  • [6] A Study of Profanity Effect in Sentiment Analysis on Natural Language Processing Using ANN
    Kim, Cheong-Ghil
    Hwang, Young-Jun
    Kamyod, Chayapol
    JOURNAL OF WEB ENGINEERING, 2022, 21 (03): : 751 - 766
  • [7] Sentiment analysis on social media tweets using dimensionality reduction and natural language processing
    Omuya, Erick Odhiambo
    Okeyo, George
    Kimwele, Michael
    ENGINEERING REPORTS, 2023, 5 (03)
  • [8] Microvascular Decompression and Trigeminal Neuralgia: Patient Sentiment Analysis Using Natural Language Processing
    Niazi, Farbod
    Elkaim, Lior M.
    Khomami, Nima Mehdy Zadeh
    Levett, Jordan J.
    Weil, Alexander G.
    Hodaie, Mojgan
    Alotaibi, Naif M.
    WORLD NEUROSURGERY, 2023, 180 : E528 - E536
  • [9] Public discourse and sentiment during Mpox outbreak: an analysis using natural language processing
    Anoop, V. S.
    Sreelakshmi, S.
    PUBLIC HEALTH, 2023, 218 : 114 - 120
  • [10] Hybrid Natural Language Processing Model for Sentiment Analysis during Natural Crisis
    Horvat, Marko
    Gledec, Gordan
    Leontic, Fran
    ELECTRONICS, 2024, 13 (10)
12345