A survey of sentiment analysis in social media

L Yue, W Chen, X Li, W Zuo, M Yin - Knowledge and Information Systems, 2019 - Springer
Sentiments or opinions from social media provide the most up-to-date and inclusive
information, due to the proliferation of social media and the low barrier for posting the …

Rating prediction based on social sentiment from textual reviews

X Lei, X Qian, G Zhao - IEEE transactions on multimedia, 2016 - ieeexplore.ieee.org
In recent years, we have witnessed a flourish of review websites. It presents a great
opportunity to share our viewpoints for various products we purchase. However, we face an …

[PDF][PDF] Document modeling with gated recurrent neural network for sentiment classification

D Tang, B Qin, T Liu - Proceedings of the 2015 conference on …, 2015 - aclanthology.org
Document level sentiment classification remains a challenge: encoding the intrinsic relations
between sentences in the semantic meaning of a document. To address this, we introduce a …

Sentiment analysis: Mining opinions, sentiments, and emotions

J Zhao, K Liu, L Xu - 2016 - direct.mit.edu
With the increasing development of Web 2.0, such as social media and online businesses,
the need for perception of opinions, attitudes, and emotions grows rapidly. Sentiment …

LSTM with sentence representations for document-level sentiment classification

G Rao, W Huang, Z Feng, Q Cong - Neurocomputing, 2018 - Elsevier
Recently, due to their ability to deal with sequences of different lengths, neural networks
have achieved a great success on sentiment classification. It is widely used on sentiment …

[책][B] Sentiment analysis and opinion mining

B Liu - 2022 - books.google.com
Sentiment analysis and opinion mining is the field of study that analyzes people's opinions,
sentiments, evaluations, attitudes, and emotions from written language. It is one of the most …