Opinion mining

Part 2 of ebook "Social media management: Technologies and strategies for creating business value" provides readers with contents including: Chapter 6 - Search engine optimization; Chapter 7 - Sentiment analysis and opinion mining (Business intelligence 1); Chapter 8 - Social network data and predictive mining (Business intelligence 2); Chapter 9 - e-Recruitment; Chapter 10 - Crowdfunding; Chapter 11 - Legal and ethical issues in social media; Chapter 12 - Wrap-up;...

133p giangmacvien 22-06-2024 1 1   Download

This paper experiments with the deep learning model convolution neural network (CNN), long short-term memory (LSTM), and the combined model of CNN and LSTM. The training data set comprise reviews of cars in Vietnamese that are pre-processed according to the method of aspect analysis based on an ontology of semantic and sentimental approaches.

7p viaespa2711 31-07-2021 17 1   Download

Referral letters from primary care contain a large amount of information that could be used to improve the appropriateness of the referral pathway for individuals seeking specialist opinion for knee or hip pain.

15p vipalau2711 30-12-2020 10 2   Download

This paper presents an empirical study on sentiment analysis for Vietnamese language focusing on comparative sentences, which have different structures compared with narrative or question sentences. Given a set of evaluative Vietnamese documents, the goal of the task consists of (1) identifying comparative sentences in the documents; (2) recognition of relations in the identified sentences; and (3) identifying the preferred entity in the comparative sentences if any.

9p vishizuka2711 07-04-2020 22 3   Download

The development of Facebook in Viet Nam has created social online forums for many discussions. The topic of dissatisfaction of public service attracted the most posts and comments. Our study showed that, the dissatisfaction, claims on public service will be one of the most useful sources for improving public services. Under the approach of social listening by the technique of opinion mining/sentiment analysis we found many interesting insights relating to citizens‟ responses on public health services.

6p chauchaungayxua2 04-01-2020 15 0   Download

Sentiment analysis is a Natural Language Processing (NLP) task of identifying or extracting the sentiment content of a text unit. This task has become an active research topic since the early 2000s. This paper describes the built datasets as well as the evaluation results of the systems participating to these campaigns.

16p viconandoyle2711 29-08-2019 24 0   Download

Sentiment Analysis is the area of research that studies people’s opinions, sentiments, evaluations, attitudes and emotions from written text. This has become one of the most active research fields in Natural Language Processing. In recent years, sentiment analysis for Vietnamese text has received a considerable attention.

7p viengland2711 23-07-2019 27 2   Download

This paper proposes a sentiment analysis technique for Thai customers’ reviews. The proposed technique is based on the integration of Thai word extraction and sentiment analysis techniques for mining Thai customers’ opinions. Before the proposed technique is described in more detail, the segmentation problems of the Thai language are first discussed in the next section to clarify the problem.

19p meriday 20-04-2019 20 1   Download

In this paper, we present a novel approach for automatic summarization. Our system, called CBSEAS, integrates a new method to detect redundancy at its very core, and produce more expressive summaries than previous approaches. Moreover, we show that our system is versatile enough to integrate opinion mining techniques, so that it is capable of producing opinion oriented summaries. The very competitive results obtained during the last Text Evaluation Conference (TAC 2008) show that our approach is efficient. ...

4p bunthai_1 06-05-2013 64 5   Download

Opinion mining is a recent subdiscipline of computational linguistics which is concerned not with the topic a document is about, but with the opinion it expresses. To aid the extraction of opinions from text, recent work has tackled the issue of determining the orientation of “subjective” terms contained in text, i.e. deciding whether a term that carries opinionated content has a positive or a negative connotation.

8p bunthai_1 06-05-2013 50 3   Download

Deriving the polarity and strength of opinions is an important research topic, attracting significant attention over the last few years. In this work, to measure the strength and polarity of an opinion, we consider the economic context in which the opinion is evaluated, instead of using human annotators or linguistic resources. We rely on the fact that text in on-line systems influences the behavior of humans and this effect can be observed using some easy-to-measure economic variables, such as revenues or product prices. ...

8p hongvang_1 16-04-2013 46 3   Download

This paper presents an application of PageRank, a random-walk model originally devised for ranking Web search results, to ranking WordNet synsets in terms of how strongly they possess a given semantic property. The semantic properties we use for exemplifying the approach are positivity and negativity, two properties of central importance in sentiment analysis.

8p hongvang_1 16-04-2013 50 1   Download

We explore how features based on syntactic dependency relations can be utilized to improve performance on opinion mining. Using a transformation of dependency relation triples, we convert them into “composite back-off features” that generalize better than the regular lexicalized dependency relation features. Experiments comparing our approach with several other approaches that generalize dependency features or ngrams demonstrate the utility of composite back-off features.

4p hongphan_1 15-04-2013 51 2   Download

Sentiment classification refers to the task of automatically identifying whether a given piece of text expresses positive or negative opinion towards a subject at hand. The proliferation of user-generated web content such as blogs, discussion forums and online review sites has made it possible to perform large-scale mining of public opinion. Sentiment modeling is thus becoming a critical component of market intelligence and social media technologies that aim to tap into the collective wisdom of crowds.

9p hongphan_1 14-04-2013 56 4   Download

This paper presents an unsupervised opinion analysis method for debate-side classification, i.e., recognizing which stance a person is taking in an online debate. In order to handle the complexities of this genre, we mine the web to learn associations that are indicative of opinion stances in debates. We combine this knowledge with discourse information, and formulate the debate side classification task as an Integer Linear Programming problem. Our results show that our method is substantially better than challenging baseline methods. ...

9p hongphan_1 14-04-2013 45 3   Download

Identifying domain-dependent opinion words is a key problem in opinion mining and has been studied by several researchers. However, existing work has been focused on adjectives and to some extent verbs. Limited work has been done on nouns and noun phrases. In our work, we used the feature-based opinion mining model, and we found that in some domains nouns and noun phrases that indicate product features may also imply opinions.

6p hongdo_1 12-04-2013 38 2   Download

We investigate the expression of opinions about human entities in user-generated content (UGC). A set of 2,800 online news comments (8,000 sentences) was manually annotated, following a rich annotation scheme designed for this purpose. We conclude that the challenge in performing opinion mining in such type of content is correctly identifying the positive opinions, because (i) they are much less frequent than negative opinions and (ii) they are particularly exposed to verbal irony.

5p hongdo_1 12-04-2013 36 2   Download

This opinion paper discusses subjective natural language problems in terms of their motivations, applications, characterizations, and implications. It argues that such problems deserve increased attention because of their potential to challenge the status of theoretical understanding, problem-solving methods, and evaluation techniques in computational linguistics. The author supports a more holistic approach to such problems; a view that extends beyond opinion mining or sentiment analysis.

6p hongdo_1 12-04-2013 33 2   Download

Current work on automatic opinion mining has ignored opinion targets expressed by anaphorical pronouns, thereby missing a significant number of opinion targets. In this paper we empirically evaluate whether using an off-the-shelf anaphora resolution algorithm can improve the performance of a baseline opinion mining system. We present an analysis based on two different anaphora resolution systems.

6p hongdo_1 12-04-2013 64 3   Download

Weblogs are a source of human activity knowledge comprising valuable information such as facts, opinions and personal experiences. In this paper, we propose a method for mining personal experiences from a large set of weblogs. We define experience as knowledge embedded in a collection of activities or events which an individual or group has actually undergone.

9p hongdo_1 12-04-2013 39 1   Download