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  • Sentence and Word Alignment System for Myanmar-English Machine Translation 
    Nwet, Khin Thandar; Soe, Khin Mar; Thein, Ni Lar (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    This paper describes an alignment system that aligns Myanmar-English texts at the sentence and word level in parallel text. Sentence and word level alignment is the identification of the corresponding sentence and word ...
  • Sentence-Final Prosody Analysis of Japanese Communicative Speech Based on the Command-Response Model 
    Takada, Kazuma; Nakajima, Hideharu; Sagisaka, Yoshinori (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Aiming at communicative speech synthesis, we analyzed sentence-final prosody characteristics through subjective impression on constituting lexicons. Since Japanese sentence-final particles and postpositionals are ...
  • Sentiment Analysis for Reviews of Movie in Myanmar Text 
    Zaw, Wai Phyoe; Hlaing, Zar Chi Su Su (ICCA, 2021-02-25)
    Nowadays, a lot of information is valuable for people who want to predict and decide the market or economic or political or many different areas. Because of the information age, customers are also no longer interested in ...
  • 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 ...
  • Sentiment Analysis of Hotel Reviews 
    Nain, Win Theingi; Tun, Khin Nwe Ni (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Mining opinions and sentiments from natural language is challenging, because it requires a deep understanding of the explicit and implicit, regular and irregular, and syntactical and semantic language rules. Sentiment ...
  • SENTIMENT ANALYSIS OF MYANMAR NEWS AND COMMENTS USING SUPPORT VECTOR MACHINE 
    Yu, Thein (University of Computer Studies, Yangon, 2023-04)
    As the development of internet technology is raising, the volume of information used for the internet users also increase in the web. Users can apply that information and give opinions for decision making system. ...
  • SENTIMENT ANALYSIS OF PRODUCT REVIEWS 
    Kyawt, Khin Kyawt (University of Computer Studies, Yangon, 2022-06)
    During the past decades, online market places have been popular and most of the sellers also request the customers to express the reviews of the products. Nowadays individual and groups depend heavily on website for ...
  • Sentiment Analysis System in Big Data Environment 
    Chan, Wint Nyein (University of Computer Studies, Yangon, 2019-01)
    Nowadays, Big Data, a large volume of both structured and unstructured data, is generated from Social Media. Social Media are powerful marketing tools and Social Big Data can offer the business insights. The major challenge ...
  • SENTIMENT LEVEL ANALYSIS FOR DETECTING SPAM EMAIL 
    Aye, Nwe Nwe (University of Computer Studies, Yangon, 2022-06)
    Since web is expanding day by day and people generally rely on web for communications, e-mails are the fastest way to send information from one place to another. Nowadays all the transactions and all the communications ...
  • Sentiment Polarity in Translation 
    Zin, Thet Thet (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Previous year, many researchers have been sentiment analysis on many focus languages. They analyzed and categorizing opinions expressed in a text. People express their opinions and feeling on social media as a daily ...
  • Separation of Voice and Music from Myanmar Songs using FFT-based FIR Filter and Repeating Pattern Extraction Technique (REPET) Method 
    Khing, Wai Phyoe; Aye, Mya Mya; Tun, Hla Myo (ICCA, 2021-02-25)
    The audio signal represents sounds that may contain speech, song and all types of sounds. The audio signal processing provides many research areas such as speech recognition, audio events recognition, music information ...
  • Sequential Pattern Mining for Library System using Prefix Spanning 
    Sein, Ma Htaw; Win, Thin Zar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Sequential pattern mining is an important data mining problem with broad applications. Most of the sequential pattern mining methods, such as GSP (Generalized Sequential Pattern) and AprioriAll explore a candidate ...
  • Sequential Pattern Mining in Web Log Data using Generalize Sequential Pattern Mining(GSP) Algorithm 
    Hlaing, Khin Su; Tun, Ei Ei (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The rising popularity of electronic commerce makes data mining an indispensable technology for several applications, especially online business competitiveness. The World Wide Web provides abundant raw data in the form of ...
  • Sequential Patterns Mining For DNA Sequences Based On Divided and Conquers Approach 
    Htein, Aung Thet (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    Data mining is process of pattern extraction from a large collection of datasets.Main goal of data mining is to discover the frequent itemsets(patterns).Sequential pattern mining is an important data mining problem that ...
  • Server Load Balancing in Software Defined Networking 
    Linn, Arkar Soe; Win, Su Hlaing; Win, Su Thawda (National Journal of Parallel and Soft Computing, 2019-03)
    Software Defined Networking (SDN) is the new emerging field in the era of information technology. The SDN is more flexible and programmable than the traditional network. The one of the important usages of SDN is the ...
  • Server Workload Classification and Analysis with Machine Learning Algorithms 
    Myint, San Hlaing (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    The main factor in measuring server performance is the accuracy of detection mechanisms. Sever is needed to detect server overload condition accurately. Therefore, it can be satisfied customers by reducing request drop ...
  • SHOPPING ASSISTANT SYSTEM USING MULTI ATTRIBUTE UTILITY THEORY (MAUT) 
    Khine, Aye Myint (University of Computer Studies, Yangon, 2022-06)
    With the widespread use of the Internet, electronic commerce (e commerce) becomes very popular and one of the most important fields. In today's fast-changing era, it is extremely important to be able to respond to the ...
  • Shopping Assistant with Negotiation between Buyer and Seller agent 
    Tun, Nwe Aye; Cho, Aye Aye (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Shopping Assistants deliver compelling web services to customers in a supermarket. Electronic commerce is a domain where agent technologies are well suited. This system will present an agent-based shopping process. In ...
  • Shortcut Links Suggestion by Web Usage Mining 
    Hlaing, Ei Mon; Kham, Nang Saing Moon (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Today’s websites are having a lot of small parts or details arranged in a complicated way and are therefore sometimes difficult to understand for the visitors.The web sites designers are faced with increasing ...
  • Shorter Path Generation Scheme for Adaptable Self-Organized 
    Hlaing, Soe Soe (University of Computer Studies, Yangon, 2020-02)
    Swarm robotics is an approach to the collective robotics that takes inspiration from the self-organized behaviors of social animals. Through simple rules and local interactions, swarm robotics aims at designing robust, ...

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