Sentiment analysis for E-commerce product reviews in Chinese based on sentiment lexicon and deep learning
L Yang, Y Li, J Wang, RS Sherratt - IEEE access, 2020 - ieeexplore.ieee.org
In recent years, with the rapid development of Internet technology, online shop** has
become a mainstream way for users to purchase and consume. Sentiment analysis of a …
become a mainstream way for users to purchase and consume. Sentiment analysis of a …
DP-SLAM: A visual SLAM with moving probability towards dynamic environments
A Li, J Wang, M Xu, Z Chen - Information Sciences, 2021 - Elsevier
Abstract Simultaneous Localization and Map** (SLAM) systems are proposed to estimate
robot poses and reconstruct 3-D map of surrounding environment. Since most of the existing …
robot poses and reconstruct 3-D map of surrounding environment. Since most of the existing …
Comparative study of deep learning-based sentiment classification
The purpose of sentiment classification is to determine whether a particular document has a
positive or negative nuance. Sentiment classification is extensively used in many business …
positive or negative nuance. Sentiment classification is extensively used in many business …
Transforming sentiment analysis for e-commerce product reviews: Hybrid deep learning model with an innovative term weighting and feature selection
Improving user satisfaction by analyzing many user reviews found on e-commerce platforms
is becoming increasingly significant in this modern world. However, accurately predicting …
is becoming increasingly significant in this modern world. However, accurately predicting …
Learning user sentiment orientation in social networks for sentiment analysis
J Chen, N Song, Y Su, S Zhao, Y Zhang - Information Sciences, 2022 - Elsevier
Sentiment analysis on social networks mines users' opinions, emotions, and attitudes to
derive useful insights into community opinions and can improve the sales strategies of e …
derive useful insights into community opinions and can improve the sales strategies of e …
Two-stage three-way enhanced technique for ensemble learning in inclusive policy text classification
D Liang, B Yi - Information Sciences, 2021 - Elsevier
With the development of the social economy, small and medium-sized enterprises (SMEs)
play a vital role in promoting economic development. Multiple local governments in China …
play a vital role in promoting economic development. Multiple local governments in China …
CLAVER: An integrated framework of convolutional layer, bidirectional LSTM with attention mechanism based scholarly venue recommendation
Scholarly venue recommendation is an emerging field due to a rapid surge in the number of
scholarly venues concomitant with exponential growth in interdisciplinary research and …
scholarly venues concomitant with exponential growth in interdisciplinary research and …
Efficient Long Short‐Term Memory‐Based Sentiment Analysis of E‐Commerce Reviews
In today's modern era, e‐commerce is making headway through the process of bringing
goods within everyone's grasp. Consumers are not even required to step out of the comfort …
goods within everyone's grasp. Consumers are not even required to step out of the comfort …
Multimodal negative sentiment recognition of online public opinion on public health emergencies based on graph convolutional networks and ensemble learning
Z Zeng, S Sun, Q Li - Information Processing & Management, 2023 - Elsevier
To improve the effect of multimodal negative sentiment recognition of online public opinion
on public health emergencies, we constructed a novel multimodal fine-grained negative …
on public health emergencies, we constructed a novel multimodal fine-grained negative …
A weakly-supervised graph-based joint sentiment topic model for multi-topic sentiment analysis
Multi-topic sentiment analysis, which aims to identify the topics and classify their
corresponding sentiment, is of great value in understanding consumers' behaviour and …
corresponding sentiment, is of great value in understanding consumers' behaviour and …