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 …
sophisticated for an appliance to understand. One of the studies that support MS problems is …
Sentiment analysis: a review and comparative analysis over social media
NK Singh, DS Tomar, AK Sangaiah - Journal of Ambient Intelligence and …, 2020 - Springer
Sentiment analysis is the computational examination of end user's opinion, attitudes and
emotions towards a particular topic or product. Sentiment analysis classifies the message …
emotions towards a particular topic or product. Sentiment analysis classifies the message …
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 …
Attention-emotion-enhanced convolutional LSTM for sentiment analysis
Long short-term memory (LSTM) neural networks and attention mechanism have been
widely used in sentiment representation learning and detection of texts. However, most of …
widely used in sentiment representation learning and detection of texts. However, most of …
A survey on classification techniques for opinion mining and sentiment analysis
Opinion mining is considered as a subfield of natural language processing, information
retrieval and text mining. Opinion mining is the process of extracting human thoughts and …
retrieval and text mining. Opinion mining is the process of extracting human thoughts and …
Deep learning CNN–LSTM framework for Arabic sentiment analysis using textual information shared in social networks
Recently, the world has witnessed an exponential growth of social networks which have
opened a venue for online users to express and share their opinions in different life aspects …
opened a venue for online users to express and share their opinions in different life aspects …
Sentiment analysis of Chinese micro-blog text based on extended sentiment dictionary
S Zhang, Z Wei, Y Wang, T Liao - Future Generation Computer Systems, 2018 - Elsevier
Micro-blog texts contain complex and abundant sentiments which reflect user's standpoints
or opinions on a given topic. However, the existing classification method of sentiments …
or opinions on a given topic. However, the existing classification method of sentiments …
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 …
Detection of Fake News Text Classification on COVID‐19 Using Deep Learning Approaches
A vast amount of data is generated every second for microblogs, content sharing via social
media sites, and social networking. Twitter is an essential popular microblog where people …
media sites, and social networking. Twitter is an essential popular microblog where people …
Emotionalisation of contemporary media discourse. A research agenda
This special issue continues the discussion of the role of emotion in discourse (see Russian
Journal of Linguistics 2015 (1) and 2018, 22 (1)) which, as testified by the burgeoning body …
Journal of Linguistics 2015 (1) and 2018, 22 (1)) which, as testified by the burgeoning body …