Review on recent advances in information mining from big consumer opinion data for product design

J Jin, Y Liu, P Ji, CK Kwong - … of Computing and …, 2019 - asmedigitalcollection.asme.org
In this paper, based on more than ten years' studies on this dedicated research thrust, a
comprehensive review concerning information mining from big consumer opinion data in …

Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey

H Jelodar, Y Wang, C Yuan, X Feng, X Jiang… - Multimedia tools and …, 2019 - Springer
Topic modeling is one of the most powerful techniques in text mining for data mining, latent
data discovery, and finding relationships among data and text documents. Researchers …

[PDF][PDF] Recommendation system: state of the art approach

M Aamir, M Bhusry - International Journal of Computer Applications, 2015 - Citeseer
ABSTRACT A Recommender System (RS) is a composition of software tools and machine
learning techniques that provides valuable piece of advice for items or services chosen by a …

Identifying comparative customer requirements from product online reviews for competitor analysis

J Jin, P Ji, R Gu - Engineering Applications of Artificial Intelligence, 2016 - Elsevier
A large volume of product online reviews are generated from time to time, which contain rich
information regarding customer requirements. These reviews help designers to make …

[HTML][HTML] Evaluation metrics for measuring bias in search engine results

G Gezici, A Lipani, Y Saygin, E Yilmaz - Information Retrieval Journal, 2021 - Springer
Search engines decide what we see for a given search query. Since many people are
exposed to information through search engines, it is fair to expect that search engines are …

Learning to flip the bias of news headlines

WF Chen, H Wachsmuth, K Al Khatib… - Proceedings of the 11th …, 2018 - aclanthology.org
This paper introduces the task of “flipping” the bias of news articles: Given an article with a
political bias (left or right), generate an article with the same topic but opposite bias. To study …

Phonetic-based microtext normalization for twitter sentiment analysis

R Satapathy, C Guerreiro, I Chaturvedi… - … conference on data …, 2017 - ieeexplore.ieee.org
The proliferation of Web 2.0 technologies and the increasing use of computer-mediated
communication resulted in a new form of written text, termed microtext. This poses new …

Words are malleable: Computing semantic shifts in political and media discourse

H Azarbonyad, M Dehghani, K Beelen, A Arkut… - Proceedings of the …, 2017 - dl.acm.org
Recently, researchers started to pay attention to the detection of temporal shifts in the
meaning of words. However, most (if not all) of these approaches restricted their efforts to …

[HTML][HTML] Feature extraction and analysis of online reviews for the recommendation of books using opinion mining technique

SS Sohail, J Siddiqui, R Ali - Perspectives in Science, 2016 - Elsevier
The customer's review plays an important role in deciding the purchasing behaviour for
online shopping as a customer prefers to get the opinion of other customers by observing …

Book recommendation system using opinion mining technique

SS Sohail, J Siddiqui, R Ali - 2013 international conference on …, 2013 - ieeexplore.ieee.org
With the changing trends in technologies, and brisk growth in Internet, daily life of an
individual has also changed at a very fast pace. The impacts of these technologies are so …