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Browsing International Conference on Computer Applications (ICCA) by Subject "Sentiment Analysis"

Browsing International Conference on Computer Applications (ICCA) by Subject "Sentiment Analysis"

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  • Annotation and Sentiment Analysis for Myanmar News 
    Yu, Thein; Nwet, Khin Thandar (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    This paper presents a corpus of Myanmar News and its metadata, annotated with sentiment polarity. It contains 100 news from Myanmar media websites such as news-eleven.com, 7daydaily.com and popularmyanmar.com. This news ...
  • Aspect based Sentiment Analysis for travel and tourism in Myanmar Language using LSTM 
    Maw, Soe Yu; Khine, May Aye (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Big social data analytics is an important tool which can be used to reveal the important insight of the information from the social user. It is an approach which combines various statistical methods, sentiment analysis, ...
  • Improved Feature-based Summarizing and Mining from Hotel Customer Reviews 
    Nyaung, Dim En; Thein, Thin Lai Lai (Thirteenth International Conferences on Computer Applications(ICCA 2015), 2015-02-05)
    Due to the rapid increase of Internet, web opinion sources dynamically emerge which is useful for both potential customers and product manufacturers for prediction and decision purposes. These are the user generated ...
  • Multi-tier Sentiment Analysis System with Sarcasm Detection: A Big Data Approach 
    Chan, Wint Nyein; Thein, Thandar (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Social Media is one of the generating sources of big data and analyzing social big data can provide the valuable information. For analyzing the social big data in an efficient and timely manner, the traditional analytic ...
  • Sentiment Analysis for Twitter Stream Data by Combining Lexicon and Machine Learning Approaches 
    Chan, Wint Nyein; Thein, Thandar (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-17)
    Nowadays, Twitter Sentiment analysis has become popular as it helps the organization to determine marketing strategy by providing public opinions. Efficient techniques to collect a large amount of Twitter stream data ...

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