Enhancing aspect-based sentiment analysis of Arabic hotels' reviews using morphological, syntactic and semantic features

M Al-Smadi, M Al-Ayyoub, Y Jararweh… - Information Processing & …, 2019 - Elsevier
This research presents an enhanced approach for Aspect-Based Sentiment Analysis (ABSA)
of Hotels' Arabic reviews using supervised machine learning. The proposed approach …

A review on state-of-the-art violence detection techniques

M Ramzan, A Abid, HU Khan, SM Awan, A Ismail… - IEEE …, 2019 - ieeexplore.ieee.org
With the rapid growth of surveillance cameras to monitor the human activity demands such
system which recognize the violence and suspicious events automatically. Abnormal and …

Multimodal sentiment analysis: A survey and comparison

R Kaur, S Kautish - Research anthology on implementing sentiment …, 2022 - igi-global.com
Multimodal sentiments have become the challenge for the researchers and are equally
sophisticated for an appliance to understand. One of the studies that support MS problems is …

Exploration of social media for sentiment analysis using deep learning

LC Chen, CM Lee, MY Chen - Soft Computing, 2020 - Springer
With the rapid growth of web content from social media, such studies as online opinion
mining or sentiment analysis of text have started receiving attention from government …

Attention-based long short-term memory network using sentiment lexicon embedding for aspect-level sentiment analysis in Korean

M Song, H Park, K Shin - Information Processing & Management, 2019 - Elsevier
Although deep learning breakthroughs in NLP are based on learning distributed word
representations by neural language models, these methods suffer from a classic drawback …

A bibliometric analysis of topic modelling studies (2000–2017)

X Li, L Lei - Journal of Information Science, 2021 - journals.sagepub.com
Topic modelling is a powerful text mining tool that has been applied in many fields such as
software engineering, political and linguistic sciences. To evaluate the development of topic …

Managing marketing decision-making with sentiment analysis: An evaluation of the main product features using text data mining

E Kauffmann, J Peral, D Gil, A Ferrández, R Sellers… - Sustainability, 2019 - mdpi.com
Companies have realized the importance of “big data” in creating a sustainable competitive
advantage, and user-generated content (UGC) represents one of big data's most important …

Approaches to cross-domain sentiment analysis: A systematic literature review

T Al-Moslmi, N Omar, S Abdullah, M Albared - Ieee access, 2017 - ieeexplore.ieee.org
A sentiment analysis has received a lot of attention from researchers working in the fields of
natural language processing and text mining. However, there is a lack of annotated data …

[PDF][PDF] Sentiment analysis: Textblob for decision making

JP Gujjar, HP Kumar - Int. J. Sci. Res. Eng. Trends, 2021 - ijsret.com
Data is the new oil for the market survey. Internet is the one where it constitute the huge
amount of the data in the form of customer reviews, customer feedback etc., TextBlob is one …

Examining the influence of emotional expressions in online consumer reviews on perceived helpfulness

MJ Chen, CK Farn - Information Processing & Management, 2020 - Elsevier
Drawing on the cognitive appraisal theory of emotions and the attribution theory, this study
extends existing research by examining how the emotional expressions influence perceived …