Sentiment analysis on the hotel reviews in the Kazakh language
2017 International Conference on Computer Science and Engineering (UBMK)Published 1 October 2017
Banu Yergesh, Gulmira Bekmanova, Altynbek Sharipbay
Citations19
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
The technique of fuzzy inference associated with the estimation of the general level of the hotel state on the basis of the calculated criterion for each aspect is proposed, derived on the based of fuzzy subjective estimates of the characteristics of the services of the hospital in the Kazakh language.
Abstract
We studied the texts in Kazakh and determined the parts of speech that define the text mood. Based on the conducted studies a lot of phrases were identified as determining the mood of the text. The technique of fuzzy inference associated with the estimation of the general level of the hotel state on the basis of the calculated criterion for each aspect is proposed. The criterion is measured in percent and is derived on the basis of fuzzy subjective estimates of the characteristics of the services of the hotel in the Kazakh language.
Keywords
Computer ScienceSocial Sciences
Information SciencesThe concept of a linguistic variable and its application to approximate reasoning-III
12,148 Citations1975L. A. Zadeh
Much of what constitutes the core of scientific knowledge may be regarded as a reservoir of concepts and techniques which can be drawn upon to construct mathematical models of various types of systems and thereby yield quantitative information concerning their behavior.
Information SciencesThe concept of a linguistic variable and its application to approximate reasoning—I
12,036 Citations1975Lotfi A. Zadeh
It is shown that probabilities, too, can be treated as linguistic variables with values such as likely, very likely, unlikely, etc.
Thumbs up?
6,987 Citations2002Bo Pang, Lillian Lee +1 more
This work considers the problem of classifying documents not by topic, but by overall sentiment, e.g., determining whether a review is positive or negative, and concludes by examining factors that make the sentiment classification problem more challenging.
now publishers, Inc. eBooksOpinion Mining and Sentiment Analysis
6,745 Citations2008Bo Pang, Lillian Lee
Foundations and Trends® in Information RetrievalOpinion Mining and Sentiment Analysis
6,204 Citations2008Bo Pang, Lillian Lee
This survey covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems and focuses on methods that seek to address the new challenges raised by sentiment-aware applications, as compared to those that are already present in more traditional fact-based analysis.
Encyclopedia of Machine Learning and Data MiningSentiment Analysis and Opinion Mining
3,319 Citations2017Lei Zhang, Bing Liu
Computational LinguisticsLexicon-Based Methods for Sentiment Analysis
3,255 Citations2011Maite Taboada, Julian Brooke +3 more
The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with their semantic orientation (polarity and strength), and incorporates intensification and negation, and is applied to the polarity classification task.
Synthesis lectures on human language technologiesSentiment Analysis and Opinion Mining
3,241 Citations2012Bing Liu
This book is a comprehensive introductory and survey text that covers all important topics and the latest developments in the field with over 400 references and is suitable for students, researchers and practitioners who are interested in social media analysis in general and sentiment analysis in particular.
Journal of Artificial Intelligence ResearchSentiment Analysis of Short Informal Texts
890 Citations2014Svetlana Kiritchenko, Xiaodan Zhu +1 more
A state-of-the-art sentiment analysis system that detects (a) the sentiment of short informal textual messages such as tweets and SMS (message-level task) and (b) the Sentiment of a word or a phrase within a message (term- level task).
Decision Support SystemsCreating sentiment dictionaries via triangulation
112 Citations2012Josef Steinberger, Mohamed Ebrahim +8 more
Results are presented that verify the triangulation hypothesis, by evaluating triangulated lists and comparing them to non-triangulated machine-translated word lists.
International Conference on Computational LinguisticsExtraction of Russian Sentiment Lexicon for Product Meta-Domain
36 Citations2012Ilia Chetviorkin, Natalia Loukachevitch
A set of statistical features and algorithm combination that can discriminate sentiment words in a specific domain and combine the sentiment lexicons from five domains to obtain one general lexicon for the product meta-domain.
The Impact of NLP on Turkish Sentiment Analysis
35 Citations2014Ezgi Yıldırım, Fatih Samet Çetin +2 more
The experiments show that the sentiment analysis performance may be improved by nearly 5 percentage points yielding a success ratio of 78.83% on the used data set.
Linguistic Annotation WorkshopTURKSENT: A Sentiment Annotation Tool for Social Media
20 Citations2013GülÅŸen EryiÄŸit, Fatih Samet Çetin +3 more
An annotation tool developed specifically for manual sentiment analysis of social media posts with easy and fast annotation interface, detailed sentiment levels, multi-client support, easy to manage administrative modules and linguistic annotation capabilities.
Computación y SistemasSemantic Hyper-graph Based Representation of Nouns in the Kazakh Language
17 Citations2014Banu Yergesh, Assel Mukanova +3 more
This work explains how semantic hyper-graphs are used to describe ontological models of morphological rules of agglutinative languages, with the Kazakh language as a case study.
International Journal of Computer Science Engineering and Information TechnologySentiment Analysis by Using Fuzzy Logic
7 Citations2014Md. Ansarul Haque, Tamjid Rahman
F fuzzy logic with the help of fuzzy logic (deals with reasoning and gives closer views to the exact sentiment values) will help the producers or consumers or any interested person for taking the effective decision according to their product or service interest.
Statistics and EconomicsAUTOMATED SENTIMENT ANALYSYS EVALUATION OF SOCIAL NETWORK USERS BASED ON FUZZY LOGIC
4 Citations2015E E Luneva, Alexandr A. Yefremov +1 more
The paper presents experimental data showing the steps of calculation of the resulting sentiment evaluation of messages on a certain topic and its relevant messages with application of fuzzy logicalgorithms.