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Guest editorial: special issue on advanced data mining and applications

Quan Z. Sheng, Yongrui Qin
2018 Computing  
This paper investigates a novel data mining problem of mining distinguishing custom focus sets from customer reviews.  ...  In this special issue This special issue begins with a paper by Duan et al. entitled "Mining Distinguishing Customer Focus Sets From Online Customer Reviews".  ... 
doi:10.1007/s00607-018-0607-8 fatcat:g5rmcbhwuvbizdlfmnpnghiali

Effect of Online Brand Community on Customer Behavior Exploration: Reconciling Mixed Findings via Regulatory Focus Theory

Ji Wu, Liqiang Huang, J. Leon Zhao, Zhongsheng Hua
2014 International Conference on Information Systems  
By analyzing data from an online brand community using a "propensity-score matching" technique, we found a partial validation that attendance of the community led to increases in customer visit frequency  ...  for customers with both promotion-focus and prevention-focus.  ...  SSEYI201304), and a grant from the National Natural Foundation of China (No. 71401154).  ... 
dblp:conf/icis/WUHZH14 fatcat:g5yjrjf52vhy5lcasswybjxctq


Tri Widarmanti, Gadang Ramantoko
2020 Indonesian Journal of Business and Entrepreneurship  
In the future, it would be interesting to gathered data from multiple e-commerce application, and combining ontology-learning-based text mining and psychometric techniques to translate online hotel's reviews  ...  Kata kunci: online review, brand positioning, text analytics, customer perceived value, hotel persona  ...  (Neirotti et al. 2016) who stated that analysis of reviewers' demographic and personal traits is a good way for customers to weight and analyze existing online reviews because they can focus on reviews  ... 
doi:10.17358/ijbe.6.3.205 fatcat:bhjy3t55bbdeboclh2omq6t46a

Multifunctional Product Marketing Using Social Media Based on the Variable-Scale Clustering

2019 Tehnički Vjesnik  
First, we proposed the public opinion sensitivity index (POSI) to uncover target customers from extensive short-textual reviews.  ...  This paper examines the customer satisfaction identification and improvement problem based on social media mining.  ...  Jan [16] presents an automatic opinion mining method of customers' textual online reviews.  ... 
doi:10.17559/tv-20181120082714 fatcat:df6xpiqdffcpvc6nmb2wcvf63m


Priti Sole .
2014 International Journal of Research in Engineering and Technology  
This paper shows need of automatically identifying important product aspects from available online customer review and an approach of aspect ranking.  ...  To address this problem, a method is explored to identify product aspect from online review is by taking into account the difference in aspect statistical characteristic across different corpus.  ...  Customer review contains different kind of opinion on different aspects of products. Opinion mining is used to find out aspects from given review corpus and deriving opinion on it.  ... 
doi:10.15623/ijret.2014.0311025 fatcat:24v27i2bpbhoznpteeedtqvivu

Digitalisation and Big Data Mining in Banking

Hossein Hassani, Xu Huang, Emmanuel Silva
2018 Big Data and Cognitive Computing  
Exploring the advanced big data analytic tools like Data Mining (DM) techniques is key for the banking sector, which aims to reveal valuable information from the overwhelming volume of data and achieve  ...  better strategic management and customer satisfaction.  ...  By focusing on the data obtaining process, the online data imputation framework incorporating DM techniques was introduced in [53] and verified via an application of real banking data sets.  ... 
doi:10.3390/bdcc2030018 fatcat:xlz5erzbrbd2ppfuzqdxnqrjxu

A Prediction of Customer Behavior using Logistic Regression, Naivesbayes Algorithm

Ruchita Atre, Namrata Tapaswi
2022 International Journal of Computer Applications  
Customers not only buy products online but also get valuable information about a product they intend to buy through an online platform.  ...  Perform behavioral analysis on data retrieved from Amazon reviews. These comments are divided into four categories: happy, up, down and rejection.  ...  Sentiment analysis can be used to extract meaningful insights from customer reviews and ratings.  ... 
doi:10.5120/ijca2022921904 fatcat:so7c5tvhdjdr3enh3eegz2qn3e

A Survey on Ranking of Features Using Customer Opinion Reviews

Prasad Mahale, Sonali Borase
2020 International Journal of Scientific Research in Science Engineering and Technology  
So the item viewpoint positioning framework, which distinguishes significant parts of items from online client audits and improve the ease of use of various surveys.  ...  This paper gives the review on different methods of viewpoint recognizable proof and conclusion arrangement.  ...  Therefore, an approach product aspect ranking is proposed to automatically identify the important aspects from online customer reviews. II.  ... 
doi:10.32628/ijsrset2072109 fatcat:e5jkrmbmanf3dbyfcgvrthe4vm

A Novel Method of an Online Opinion Mininge Motions by Comparing Various Mobile Gadgets

The customer review, rating by the customers, rate comparing and the opinion mining will be explained in the last section. The framework additionally manages two viewpoints in a survey.  ...  With this, majority of reviews are accessible for a solitary item, that should be investigated, handled and mine.  ...  The major focus of the work is to cluster the reviews ( analyse) according to the opinion mining i.e) Sentimental analysis.  ... 
doi:10.35940/ijitee.k1219.09811s19 fatcat:aaahydu3bfc2zibcyg6tup2xmi

Customer Sentiment Analysis: Take Restaurant Online Reviews as an Example

Xu Gang, Chengdu University of Technology, China
2020 Asia-pacific Journal of Convergent Research Interchange  
This article takes the restaurant's online reviews as an example and uses machine learning algorithms to analyze the customer's sentiment tendency.  ...  with machine learning methods to mine online product reviews for preprocessing and sentiment analysis.  ...  At the same time, because Internet reviews are very different from traditional texts, sentiment analysis for online reviews will be more difficult than traditional texts.  ... 
doi:10.21742/apjcri.2020.06.03 fatcat:bly3zlp37rey3mu3sltr7lyo6a

Developing a Model for Sentiment Analysis Technique in the field of Tourism using Deep Learning

2020 International journal of recent technology and engineering  
The objective of this research is to analyze online reviews of all the users to propose a new optimized business model to improve present services of business organization to enhance profit and customer  ...  It helps in enhancing business profits by running online websites throughout by giving best services to the online users or customers.  ...  The focus is on the fact that sentiment analysis has shifted from analyzing online product reviews to social media text from twitter and facebook.  ... 
doi:10.35940/ijrte.f7390.038620 fatcat:fsgxewmn2jdr3linqptws4yd7y

Using association rules to assess purchase probability in online stores

Grażyna Suchacka, Grzegorz Chodak
2016 Information Systems and E-Business Management  
We apply association rule mining to real online bookstore data. The results show differences in factors indicating a high purchase probability in session for both customer types.  ...  The discovered association rules allow us to formulate some predictions for the online store, e.g. that a logged user who has viewed only traditional, printed books, has been staying in the store from  ...  Acknowledgments This work was partially supported by funds from the National Science Centre (NCN) in Poland under Grant No. 2013/11/B/HS4/01061.  ... 
doi:10.1007/s10257-016-0329-4 fatcat:7evjhqsjrjbirp33hs3ay4l3c4

A review of opinion mining and sentiment classification framework in social networks

Y.W. Lo, V. Potdar
2009 2009 3rd IEEE International Conference on Digital Ecosystems and Technologies  
This paper discusses the existing works on opinion mining and sentiment classification of customer feedback and reviews online, and evaluates the different techniques used for the process.  ...  It focuses on the areas covered by the evaluated papers, points out the areas that are well covered by many researchers and areas that are neglected in opinion mining and sentiment classification which  ...  These explain for the importance of opinion mining and sentiment classification of online customer reviews.  ... 
doi:10.1109/dest.2009.5276705 fatcat:yiyijt6oa5b65nivapul7oiap4

The Reason Behind the Rating: Text Mining of Online Hotel Reviews

Pachtamon Chanwisitkul, Azar Shahgholian, Nikolay Mehandjiev
2018 2018 IEEE 20th Conference on Business Informatics (CBI)  
Online customer reviews are a significant marketing resource for products and service business, often serving as a key reference point for potential customers.  ...  We use text mining of hotel reviews to identify main features referred to by customers and determine their correlation with customer satisfaction or dissatisfaction.  ...  In this study, we use Text Mining to discover patterns and relationships within the text of customers' online reviews [12] .  ... 
doi:10.1109/cbi.2018.00025 dblp:conf/wecwis/ChanwisitkulSM18 fatcat:66jnvomwynd2xgfo4g3uezzjxm

A Design on Bank Customer Complaints Analysis using Natural Language Processing

In this focused condition, banks are understanding the significance of client care and fulfillment and need to give close consideration to the Voice of Customer to improve client experience.  ...  By dissecting and getting bits of knowledge from client input, banks will have better data to settle on key choices.  ...  For this purpose, these strategies do now not scale well to brief texts which include online reviews that have restricted features to study from.  ... 
doi:10.35940/ijitee.b1038.1292s19 fatcat:irs2e3ixcbfyrcvsv4gtzjoadq
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