A survey of sentiment analysis in social media
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 …
information, due to the proliferation of social media and the low barrier for posting the …
Rating prediction based on social sentiment from textual reviews
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 …
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
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 …
between sentences in the semantic meaning of a document. To address this, we introduce a …
LSTM with sentence representations for document-level sentiment classification
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 …
have achieved a great success on sentiment classification. It is widely used on sentiment …
[图书][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 …
sentiments, evaluations, attitudes, and emotions from written language. It is one of the most …
[PDF][PDF] Learning semantic representations of users and products for document level sentiment classification
Neural network methods have achieved promising results for sentiment classification of text.
However, these models only use semantics of texts, while ignoring users who express the …
However, these models only use semantics of texts, while ignoring users who express the …
[图书][B] Sentiment analysis: Mining opinions, sentiments, and emotions
B Liu - 2020 - books.google.com
Sentiment analysis is the computational study of people's opinions, sentiments, emotions,
moods, and attitudes. This fascinating problem offers numerous research challenges, but …
moods, and attitudes. This fascinating problem offers numerous research challenges, but …
Multi-aspect sentiment analysis with topic models
We investigate the efficacy of topic model based approaches to two multi-aspect sentiment
analysis tasks: multi-aspect sentence labeling and multi-aspect rating prediction. For …
analysis tasks: multi-aspect sentence labeling and multi-aspect rating prediction. For …
Multi-task learning model based on multi-scale CNN and LSTM for sentiment classification
N Jin, J Wu, X Ma, K Yan, Y Mo - IEEE Access, 2020 - ieeexplore.ieee.org
Sentiment classification is an interesting and crucial research topic in the field of natural
language processing (NLP). Data-driven methods, including machine learning and deep …
language processing (NLP). Data-driven methods, including machine learning and deep …
Building emotional dictionary for sentiment analysis of online news
Sentiment analysis of online documents such as news articles, blogs and microblogs has
received increasing attention in recent years. In this article, we propose an efficient algorithm …
received increasing attention in recent years. In this article, we propose an efficient algorithm …