Implementation and comparison of topic modeling techniques based on user reviews in e-commerce recommendations

D Chehal, P Gupta, P Gulati - Journal of Ambient Intelligence and …, 2021 - Springer
These days users are able to save their time and effort by purchasing products online via
various e-commerce websites. Their experience with a product exists in the form of textual …

Sentiment analysis of online product reviews using DLMNN and future prediction of online product using IANFIS

P Sasikala, L Mary Immaculate Sheela - Journal of Big Data, 2020 - Springer
A major task that the NLP (Natural Language Processing) has to follow is Sentiments
analysis (SA) or opinions mining (OM). For finding whether the user's attitude is positive …

[HTML][HTML] Cross-domain aspect detection and categorization using machine learning for aspect-based opinion mining

AF Pathan, C Prakash - … Journal of Information Management Data Insights, 2022 - Elsevier
There is an increase in the development of social media and electronic commerce sites day
by day. In order to express their opinions about the products purchased user's write …

[HTML][HTML] Unsupervised aspect extraction algorithm for opinion mining using topic modeling

AF Pathan, C Prakash - Global Transitions Proceedings, 2021 - Elsevier
With the massive use of electronic gadgets and the developing fame of web-based media, a
great deal of text information is being produced at the rate never observed. It is not feasible …

An approach to utilize e-commerce product reviews to remove irrelevant recommendations

D Chehal, P Gupta, P Gulati - 2022 IEEE Delhi Section …, 2022 - ieeexplore.ieee.org
Information explosion in the digital era has affected e-commerce users' purchase experience
as the users encounter a large number of choices for the item of interest. A recommender …

[PDF][PDF] Twitter's Mirroring of the 2022 Energy Crisis: What It Teaches Decision-Makers–A Preliminary Study

HN Teodorescu, M Pirnau - Rom. J. Inf. Sci. Technol, 2023 - romjist.ro
The paper pertains to the field of opinion mining on social networks in view of decision-
making. It was designed to determine the effect of the energy crises on the socioethical and …

SentenceLDA: Discriminative and Robust Document Representation with Sentence Level Topic Model

T Cha, D Lee - Proceedings of the 18th Conference of the …, 2024 - aclanthology.org
A subtle difference in context results in totally different nuances even for lexically identical
words. On the other hand, two words can convey similar meanings given a homogeneous …

An Assessment of Digitalization Techniques in Contact Centers and Their Impact on Agent Performance and Well-Being

M Pacella, P Vasco, G Papadia, V Giliberti - Sustainability, 2024 - mdpi.com
The role of contact centers in improving the operational efficiency of numerous organizations
is of utmost importance. Presently, digitalization technology has enabled contact centers to …

Emotion Recognition in Speech by Multimodal Analysis of Audio and Text

SB Shah, S Garg, A Bourazeri - 2023 13th International …, 2023 - ieeexplore.ieee.org
Emotion recognition remains a very challenging task in research because of its sensitive
and multifaceted nature. Recently, emotion recognition has garnered a lot of attention owing …

Klasifikasi Tweet di Twitter dengan Menggunakan Metode K-Nearest Neighbor

AF Rahman - Jurnal Sistim Informasi dan Teknologi, 2022 - jsisfotek.org
Twitter is a social media and also a microblog that allows users to send and read short
messages of no more than 280 characters as tweets. Tweet users are currently not limited in …