Study of Socio-Linguistics Online Review System Using Sentiment Scoring Method

Ahamed, B. Bazeer; Murugan, K.

doi:10.1007/978-3-030-33585-4_56

Cited by 3 publications

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The adverb structure scaling method adopts individual adverbs and structural adverbs, where structural adverbs are determined by the structure of "degree adverb + emotion adverb". Refer to existing research results (Wang et al, 2018b;Bazeer Ahamed & Murugan, 2020), degree adverbs are divided into two levels: I and II, and emotion adverbs are divided into three categories: A, B and C according to emotional types. After structuring all adverbs, all adverb combinations are divided into several grades according to emotional characteristics, and different scale values are assigned to these adverb combinations of different grades.…”

Section: Adverb Structure Scaling Methods For Online Reviewsmentioning

confidence: 99%

An Online Reviews Information Fusion Method and Its Application to Public Property Service Quality Evaluation

Lin

Zuo

Lin

et al. 2022

International Journal of Strategic Property Management

View full text Add to dashboard Cite

With the rapid development of computer networking technology, people pay more and more attention to the role of online reviews in management decision making. The existing methods of online reviews fusion are limited to rational decision-making behavior, which does not accord with the characteristics of evaluators’ behavior characteristics in the real environment. In order to solve the online reviews fusion problem based on bounded rational behavior which is closer to the reality of property service quality evaluation, the multi-index and multi-scale (MIMS) method is extended into the generalized form, the online reviews are quantified by using the adverb structure scaling method, and an online reviews fusion method based on the improved TODIM (an acronym in Portuguese of interactive and multi-criteria decision making) model is proposed. The feasibility and effectiveness of the proposed method are verified by an example analysis of property service quality evaluation. The research results are as follows: the adverb structure scaling method is suitable for a large number of online reviews processing, the proposed method improves the efficiency of online reviews information fusion, and it is feasible and effective to evaluate property service quality based on the bounded rationality of evaluator’s behavior.

show abstract

Section: Adverb Structure Scaling Methods For Online Reviewsmentioning

confidence: 99%

An Online Reviews Information Fusion Method and Its Application to Public Property Service Quality Evaluation

Lin

Zuo

Lin

et al. 2022

International Journal of Strategic Property Management

View full text Add to dashboard Cite

show abstract

“…The method of combining web crawler and manual processing is used to collect the evaluation information. Based on the characteristics of the research object, the original evaluation information adopts the structure of "degree adverbs + emotion words" by referring to the existing method (Wang et al 2018;Bazeer Ahamed and Murugan, 2020). The degree adverbs are divided into two levels: S and W, and the emotion words are divided into two levels: P and N. The online review is collected by three-level marking method, which is divided into three levels: first-level (degree adverb S + emotion word N), second-level (degree adverb W + emotion word N, degree adverb W + emotion word P) and third-level (degree adverb S + emotion word P), and assign the scores 1, 2 and 3 in turn.…”

Section: Multi-source Heterogeneous Evaluation Information Collectionmentioning

confidence: 99%

A Property Perceived Service Quality Evaluation Method for Public Building Based on Multi-Source Heterogeneous Information Fusion

Zuo

Liu

et al. 2021

Preprint

View full text Add to dashboard Cite

The basic information of property perceived service quality (PPSQ) evaluation for public building has the characteristics of multi-source heterogeneity, which challenges the traditional perceived service quality evaluation methods. Based on the classical linear programming technique for multidimensional analysis of preference (LINMAP), a multi-objective LINMAP model is constructed and a new PPSQ evaluation method is proposed to solve such problems. Constructing the multi-objective LINMAP model is the core of constructing the new PPSQ evaluation method. The construction idea of the multi-objective LINMAP model is as follows: First, the multi-source heterogeneous evaluation information is normalized based on the TOPSIS idea. Then, the LINMAP model is extended by using the objective function which is constructed with the minimum variance between the multi-source evaluation information. Finally, the source weight and index weight are determined by the above model, the comprehensive distance of each property service project is calculated, and the best choice of property service project is found. The case study verifies the feasibility and effectiveness of the multi-objective LINMAP model, but also reflects the new requirement of comprehensively and objectively evaluates PPSQ for public building.

show abstract

Prominence of Sentiment Analysis in Web‐Based Data Using Semi‐Supervised Classification

Ahamed

2022

Handbook of Intelligent Computing and Optimization for Sustainable Development

View full text Add to dashboard Cite

Study of Socio-Linguistics Online Review System Using Sentiment Scoring Method

Cited by 3 publications

References 18 publications

An Online Reviews Information Fusion Method and Its Application to Public Property Service Quality Evaluation

An Online Reviews Information Fusion Method and Its Application to Public Property Service Quality Evaluation

A Property Perceived Service Quality Evaluation Method for Public Building Based on Multi-Source Heterogeneous Information Fusion

Prominence of Sentiment Analysis in Web‐Based Data Using Semi‐Supervised Classification

Contact Info

Product

Resources

About