A Word Vector based Review Vector method for Sentiment Analysis of Movie Reviews Exploring the applicability of the Movie Reviews

被引：0
|
作者：
Yin Fulian [1 ]
Wang Yanyan [1 ]
Pan Xingyi [1 ]
Su Pei [1 ]
机构：
[1] Commun Univ China, Inst Informat Engn, Beijing, Peoples R China
来源：
2018 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND APPLICATIONS (ICCIA) | 2018年
关键词：
sentiment analysis; word embedding; text mining; natural language processing; machine learning;
D O I：
10.1109/ICCIA.2018.00028
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Based on word embedding method, this paper presents a word vector based review vector method for sentiment analysis of movie reviews. As a result, it is achieved that 86.18% classification accuracy using the method. Meanwhile, the method is applicable to multiple languages such as Chinese and English, and it is extensible for larger scale contents as well. What's more, the influence of word vector dimensions on the sentiment analysis accuracy and the method's applicability on sentences of varied lengths are also discussed in this paper. The experimental result proved that the word vector based review method for sentiment analysis is not only an efficient and simple way to analyze emotional expression, but also has extensibility and applicability for comments in varied lengths and multiple languages.
引用
收藏
页码：112 / 117
页数：6
相关论文
共 50 条
  • [41] Reduced Feature Based Sentiment Analysis on Movie Reviews Using Key Terms
    Sruthi, S.
    Sheik, Reshma
    John, Ansamma
    2017 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, INFORMATICS, COMMUNICATION AND ENERGY SYSTEMS (SPICES), 2017,
  • [42] An Approach to Sentiment Analysis of Movie Reviews: Lexicon Based vs. Classification
    Augustyniak, Lukasz
    Kajdanowicz, Tomasz
    Kazienko, Przemyslaw
    Kulisiewicz, Marcin
    Tuliglowicz, Wlodzimierz
    HYBRID ARTIFICIAL INTELLIGENCE SYSTEMS, HAIS 2014, 2014, 8480 : 168 - 178
  • [43] Sentiment Analysis on Movie Scripts and Reviews Utilizing Sentiment Scores in Rating Prediction
    Frangidis, Paschalis
    Georgiou, Konstantinos
    Papadopoulos, Stefanos
    ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS, AIAI 2020, PT I, 2020, 583 : 430 - 438
  • [44] Research on aspect-based sentiment analysis of movie reviews based on deep learning
    Mao, Hanyue
    Fan, Yang
    Tong, Mingwen
    JOURNAL OF INFORMATION SCIENCE, 2024,
  • [45] Review on sentiment analysis of movie reviews using machine learning techniques based on data available on Twitter
    Dangi, Dharmendra
    Bhagat, Amit
    Gupta, Jeetendra Kumar
    INTERNATIONAL JOURNAL OF ENGINEERING SYSTEMS MODELLING AND SIMULATION, 2024, 15 (05) : 253 - 259
  • [46] iMovie: A Prototype Sentiment Search Engine for Movie Reviews
    Chen, Dongling
    Yang, Feng
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MECHATRONICS, ELECTRONIC, INDUSTRIAL AND CONTROL ENGINEERING, 2015, 8 : 217 - 221
  • [47] Sentiment Classification of Movie Reviews Using Multiple Perspectives
    Thet, Tun Thura
    Na, Jin-Cheon
    Khoo, Christopher S. G.
    DIGITAL LIBRARIES: UNIVERSAL AND UBIQUITOUS ACCESS TO INFORMATION, PROCEEDINGS, 2008, 5362 : 184 - 193
  • [48] Sentiment classification of movie reviews using GA and NeuroGA
    Tripathy, Abinash
    Anand, Abhishek
    Kadyan, Virender
    MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 82 (06) : 7991 - 8011
  • [49] "The Foreign Language Effect" and Movie Recommendation: A Comparative Study of Sentiment Analysis of Movie Reviews in Chinese and English
    Tang, Tiffany Y.
    Winoto, Pinata
    Guan, Aonan
    Chen, Guanxing
    PROCEEDINGS OF 2018 10TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND COMPUTING (ICMLC 2018), 2018, : 79 - 84
  • [50] Sentiment Analysis of Movie Reviews: A study on Feature Selection & Classification Algorithms
    Sahu, Tirath Prasad
    Ahuja, Sanjeev
    2016 INTERNATIONAL CONFERENCE ON MICROELECTRONICS, COMPUTING AND COMMUNICATIONS (MICROCOM), 2016,
12345