• Title/Summary/Keyword: opinion

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Improvement of recommendation system using attribute-based opinion mining of online customer reviews

  • Misun Lee;Hyunchul Ahn
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.12
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    • pp.259-266
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    • 2023
  • In this paper, we propose an algorithm that can improve the accuracy performance of collaborative filtering using attribute-based opinion mining (ABOM). For the experiment, a total of 1,227 online consumer review data about smartphone apps from domestic smartphone users were used for analysis. After morpheme analysis using the KKMA (Kkokkoma) analyzer and emotional word analysis using KOSAC, attribute extraction is performed using LDA topic modeling, and the topic modeling results for each weighted review are used to add up the ratings of collaborative filtering and the sentiment score. MAE, MAPE, and RMSE, which are statistical model performance evaluations that calculate the average accuracy error, were used. Through experiments, we predicted the accuracy of online customers' app ratings (APP_Score) by combining traditional collaborative filtering among the recommendation algorithms and the attribute-based opinion mining (ABOM) technique, which combines LDA attribute extraction and sentiment analysis. As a result of the analysis, it was found that the prediction accuracy of ratings using attribute-based opinion mining CF was better than that of ratings implementing traditional collaborative filtering.

Terms Based Sentiment Classification for Online Review Using Support Vector Machine (Support Vector Machine을 이용한 온라인 리뷰의 용어기반 감성분류모형)

  • Lee, Taewon;Hong, Taeho
    • Information Systems Review
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    • v.17 no.1
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    • pp.49-64
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    • 2015
  • Customer reviews which include subjective opinions for the product or service in online store have been generated rapidly and their influence on customers has become immense due to the widespread usage of SNS. In addition, a number of studies have focused on opinion mining to analyze the positive and negative opinions and get a better solution for customer support and sales. It is very important to select the key terms which reflected the customers' sentiment on the reviews for opinion mining. We proposed a document-level terms-based sentiment classification model by select in the optimal terms with part of speech tag. SVMs (Support vector machines) are utilized to build a predictor for opinion mining and we used the combination of POS tag and four terms extraction methods for the feature selection of SVM. To validate the proposed opinion mining model, we applied it to the customer reviews on Amazon. We eliminated the unmeaning terms known as the stopwords and extracted the useful terms by using part of speech tagging approach after crawling 80,000 reviews. The extracted terms gained from document frequency, TF-IDF, information gain, chi-squared statistic were ranked and 20 ranked terms were used to the feature of SVM model. Our experimental results show that the performance of SVM model with four POS tags is superior to the benchmarked model, which are built by extracting only adjective terms. In addition, the SVM model based on Chi-squared statistic for opinion mining shows the most superior performance among SVM models with 4 different kinds of terms extraction method. Our proposed opinion mining model is expected to improve customer service and gain competitive advantage in online store.

A Study on Web Mining System for Real-Time Monitoring of Opinion Information Based on Web 2.0 (의견정보 모니터링을 위한 웹 마이닝 시스템에 관한 연구)

  • Joo, Hae-Jong;Hong, Bong-Hwa;Jeong, Bok-Cheol
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.1
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    • pp.149-157
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    • 2010
  • As the use of the Internet has recently increased, the demand for opinion information posted on the Internet has grown. However, such resources only exist on the website. People who want to search for information on the Internet find it inconvenient to visit each website. This paper focuses on the opinion information extraction and analysis system through Web mining that is based on statistics collected from Web contents. That is, users' opinion information which is scattered across several websites can be automatically analyzed and extracted. The system provides the opinion information search service that enables users to search for real-time positive and negative opinions and check their statistics. Also, users can do real-time search and monitoring about other opinion information by putting keywords in the system. Proposed technologies proved to have outstanding capabilities in comparison to existing ones through tests. The capabilities to extract positive and negative opinion information were assessed. Specifically, test movie review sentence testing data was tested and its results were analyzed.

Analysis of public opinion in the 20th presidential election using YouTube data (유튜브 데이터를 활용한 20대 대선 여론분석)

  • Kang, Eunkyung;Yang, Seonuk;Kwon, Jiyoon;Yang, Sung-Byung
    • Journal of Intelligence and Information Systems
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    • v.28 no.3
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    • pp.161-183
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    • 2022
  • Opinion polls have become a powerful means for election campaigns and one of the most important subjects in the media in that they predict the actual election results and influence people's voting behavior. However, the more active the polls, the more often they fail to properly reflect the voters' minds in measuring the effectiveness of election campaigns, such as repeatedly conducting polls on the likelihood of winning or support rather than verifying the pledges and policies of candidates. Even if the poor predictions of the election results of the polls have undermined the authority of the press, people cannot easily let go of their interest in polls because there is no clear alternative to answer the instinctive question of which candidate will ultimately win. In this regard, we attempt to retrospectively grasp public opinion on the 20th presidential election by applying the 'YouTube Analysis' function of Sometrend, which provides an environment for discovering insights through online big data. Through this study, it is confirmed that a result close to the actual public opinion (or opinion poll results) can be easily derived with simple YouTube data results, and a high-performance public opinion prediction model can be built.

A Study on China's SNS Opinion Leader through Social Data (소셜 데이터를 통한 중국의 여론 주도층에 관한 연구)

  • Zheng, Xuan;Lee, Jooyoup
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.6 no.9
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    • pp.59-70
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    • 2016
  • The rapid development of the Chinese version of Twitter, the groom Weibo has become an important communication means for Chinese SNS users to obtain and share information. As a result, in China, the phenomenon of the power shift has emerged from the traditional opinion leaders to SNS opinion leasers. The relationship analysis of demographic variables of the Chinese SNS users and their Information on the relationship between keywords was made by utilizing the centrality analysis using Social Network Program NetMiner. China's SNS opinion leaders have general interest in daily activities with their families or friends rather than in social issues. And in case of SNS opinion leaders of high betweenness centrality, it was analyzed that general users was a key mediator role that organically out lead to the adjacent information. These properties are not independent of demographic variables, such as professional, therefore, the demographic characteristics of SNS opinion leaders showed a significant effect on the parameters of betweenness centrality. This study analyzed the characteristics of SNS users, especially opinion leaders in China by looking at the aspects of Chinese social phenomenon in terms of information. Through this study, we expect to provide basic information about the social characteristics of China through collective communication.

Measuring the Third-Person Effects of Public Opinion Polls: Focusing On Online Polls (여론조사보도에 대한 제3자효과 검증: 온라인 여론조사를 주목하며)

  • Kim, Sung-Tae;Willnat, Las;Weaver, David
    • Korean journal of communication and information
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    • v.32
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    • pp.49-73
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    • 2006
  • During the past decades, public opinion polls have become an ubiquitous tool for probing the complexity of people's beliefs and attitudes on a wide variety of issues. Especially since the late 1970s, the use of polls by news organizations has increased dramatically. Along with the proliferation of traditional polls, in the past few years pollsters and news organizations have come to recognize the advantages of online polls. Increasingly there has been more effort to take the pulse of the public through the Internet. With the Internet's rapid growth during the past years, advocates of online polling often emphasize the relative advantages over traditional polls. Researchers from Harris Black International Ltd., for example, argue that "Internet polling is less expensive and faster and offers higher response rates than telephone surveys." Moreover, since many of the newer online polls draw respondents from large databases of registered Internet users, results of online polls have become more balanced. A series of Harris Black online polls conducted during the 1998 gubernatorial and senatorial elections, for example, has accurately projected the winners in 21 of the 22 races it tracked. Many researchers, however, severely criticize online polls for not being representative of the larger population. Despite the often enormous number of participants, Internet users who participate in online polls tend to be younger, better educated and more affluent than the general population. As Traugott pointed out, the people polled in Internet surveys are a "self selected" group, and thus "have volunteered to be part of the test sample, which could mean they are more comfortable with technology, more informed about news and events ... than Americans who aren't online." The fact that users of online polls are self selected and demographically very different from Americans who have no access to the Internet is likely to influence the estimates of what the majority of people think about social or political issues. One of the goals of this study is therefore to analyze whether people perceive traditional and online public opinion polls differently. While most people might not differentiate sufficiently between traditional random sample polls and non representative online polls, some audiences might perceive online polls as more useful and representative. Since most online polls allow some form of direct participation, mostly in the form of an instant vote by mouse click, and often present their findings based on huge numbers of respondents, consumers of these polls might perceive them as more accurate, representative or reliable than traditional random sample polls. If that is true, perceptions of public opinion in society could be significantly distorted for those who rely on or participate in online polls. In addition to investigating how people perceive random sample and online polls, this study focuses on the perceived impact of public opinion polls. Similar to these past studies, which focused on how public opinion polls can influence the perception of mass opinion, this study will analyze how people perceive the effects of polls on themselves and other people. This interest springs from prior studies of the "third person effect," which have found that people often tend to perceive that persuasive communications exert a stronger influence on others than on themselves. While most studies concerned with the political effects of public opinion polls show that exit polls and early reporting of election returns have only weak or no effects on the outcome of election campaigns, some empirical findings suggest that exposure to polls can move people's opinions both toward and away from perceived majority opinion. Thus, if people indeed believe that polls influence others more than themselves, perceptions of majority opinion could be significantly altered because people might anticipate that others will react more strongly to poll results.

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A Study on the Health Professional's Perception of Postpartal care (건강전문가의 산후관리 인식에 대한 연구)

  • Jang, Moon-Hee;Yoo, Eun-Kwang
    • Women's Health Nursing
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    • v.5 no.3
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    • pp.313-326
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    • 1999
  • This study sought to find out the level of perception of postpartal care and the meaning and opinion of traditional postpartal care (Sanhujori) from health professional. The subjects were 188 health professionals who work at University hospital, clinics, Oriented clinics, and midwifery clinics in Seoul and Chung-Buk, Korea. Data were collected from 8th April, 1999 to 6th May, 1999. The data were analyzed through the SPSS program by use of frequency, percentage, t-test, ANOVA and Scheffe test as a post hoc contrast, $x^2$-test, and stepwise multiple regression. The results of the study were as follows: mean age of the subject was 33.0 years and female was 58.0%. Occupation of the subject was nurse 28.7%, doctor 22.3%, midwife 21.3 Korean Oriental doctor 27.0%. Mean period of career was 7.6 years and the subject who experienced Sanhujori was 54.3%. The subject who did not know 6 principles of Sanhujori was 73.9%. In the opinion on traditional Sanhujori method 68.1% of respondents expressed that Sanhujori is scientific postpartal care which fits Korean people's physical constitution and culture. On the opinion of effective postpartal care in 97.9% of respondents expressed that it is to in hospital postpartal care and traditional Sanhujori perform it according to Korean culture constitution. On the opinion of Sanhujori, 96.6% of respondents expressed that it is necessary to understand Sanhujori with consideration which was adapted to Oriental culture and to verify it through continual study. On the opinion of the effect of the level of performance of Sanhujori upon women's health life, 43.2% of respondents expressed that the level of performance of Sanhujori has great effect on women's general health, including postpartal recovery, Sanhujori prevention, and so on. On the opinion of Sanhujori of women who undergo Caesarean operation, 57.7% of respondents expressed that women who undergo Caesarean operation perform Sanhujori with more attention. On the opinion of Sanhujori center (sanhujorwon), 56.3% of respondents expressed that the center is necessary for women's health and health professional are required to manage the center scientifically. On considering the level of importance of post care according to occupation, midwife showed highest level of importance of traditional Sanhujori doctor the lowest level. Midwife showed the hi level of importance of postpartal care and K Oriental doctor showed the lowest level of importance of women's postpartal care. On considering the relationship between the level of importance of postpartal care and general characteristics, sex, career, clinical department and whether they know 6 principles of Sanhujori or not were statistically significant at the level of 5%. In the stepwise multiple regression analysis, the main influencing variables on the level of importance of postpartal care were occupation, sex, and clinical department. In conclusion, this finding confirmed that professionals were considering the traditional Sa importantly for women's health. Above all things necessary for health professional to integrate concept of traditional Sanhujori into practical nu intervention program, to apply it to profes practices in order to reestablish effective integrative postpartal caring system, and to Sanhujori scientific through performing continual research.

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A Polyphonic Approach to French Proverbs and the Readings of the Combination ′Opinion Verb + Proverb′ (다성적 관점에서 본 프랑스어 속담과 ′의견동사+속담′ 구문의 해독)

  • 황경자
    • Lingua Humanitatis
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    • v.1 no.1
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    • pp.275-294
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    • 2001
  • This article aims to define the nature of proverbs from a polyphonic point of view and examine different readings of the complement involved in the combination of a proverb with a verb of personal opinion. An utterer of a proverb is not himself the author of the proverb. He may well be a 'speaker' of a proverb, but from a polyphonic view point he is not an 'enunciator' of the principle that underlies it. When we say that a speaker of a proverb is not its enunciator, we do not simply mean that he is not the author of the 'content' of the proverb he speaks: we mean that he is not the author of its 'form' either. The fact that a proverb loses its proverbial character when one paraphrases it proves that its form is not at the speaker's disposal. But a single factor cannot be held responsible for what a proverb is. As an indicator of the 'wisdom of the nation,' or vox populi, a proverb is the achievement of the 'collective enunciator.' The polyphony inherent in the proverb pits a particular speaker against a collective enunciator. This collective character of the proverb as a vox populi comes from its character as a phrasal denomination. Given that a proverb reflects a collective judgment and not a personal opinion, how do we interpret the combination of a proverb with a verb of personal opinion such as I think that ...\ulcorner Such a combination gives rise to readings at distinct levels: two types of metalinguistic reading and a reading based on the content of the proverb. The first level of reading, being applicative in nature, can be local or general, depending on the speaker's opinion as to the applicability of the proverb to a situation, particular or general. These applicative readings always involve polyphonic dissociation between the speaker and the enunciator. The second level of reading, which depends on the content of the proverb, is the result of the operation of deproverbialization, which makes the proverb lose its denominative status to preserve only its status as a generic phrase. The proverb, thus deproverbialized, looks like the series 'NP + VP.' For this reading, the speaker of the proverb takes into consideration the possibility of attributing a predicate to a nominal syntagm. Here occurs an identity between the speaker and the enunciator. It is not the case, however, that one can deproverbialize just any proverbs. In approaching to a locally typifying generic phrase, a proverb admits of being deproverbialized by an opinion verb only when its form does not render it difficult, either syntactically or metaphorically, to incorporate that proverb into the relevant combination, and when the proverb intrinsically possesses the traits that meet the conditions for the use of the opinion verb at hand. One can also maintain, based on the notion of deproverbialization, that a proverb expresses a collective judgment, a deproverbialized individual judgment.

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The Effects of Types of Self-Identity on Quasi-social Interactions and Information Sharing Intentions with Facebook Opinion Leaders (자아정체성의 유형이 페이스북 의견 지도자와의 준사회적 상호작용 및 정보공유 의도에 미치는 효과)

  • Park, Sunkyung;Kang, Yoon Ji
    • Journal of Digital Convergence
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    • v.19 no.6
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    • pp.225-232
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    • 2021
  • Nowadays, opinion leaders influence the formation of public opinion on various issues in social network services. There has been a lack of research on the personal characteristics that inspire users to interact with opinion leaders and show intent to act. This paper verifies how the disposition of Facebook users' self-identity affects the quasi-social interaction with opinion leaders on Facebook and the intention to share information. As the perception and behavior of users on social media platforms differ depending on the type of issue, an online survey was conducted by classifying issue types into life culture and political sectors. Research found that personal identity had a significant positive effect on quasi-social interactions in the life culture and politics sectors, while group identity negatively affected quasi-social interactions. In addition, the intention to share information was confirmed to have a significant effect only in the life and culture areas of self-identity (social and group identity). Quasi-social interaction was confirmed to have a significant positive effect on all issue areas. The results of this study suggest the need to consider variations in opinion leader marketing strategies based on the types of self-identity of Facebook users in the future. In addition, the study shows that raising the level of quasi-social interaction at the corporate level without distinction of issue types can lead to effective results.