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 …
Fake reviews detection: A survey
In e-commerce, user reviews can play a significant role in determining the revenue of an
organisation. Online users rely on reviews before making decisions about any product and …
organisation. Online users rely on reviews before making decisions about any product and …
Aspect-level sentiment analysis via convolution over dependency tree
We propose a method based on neural networks to identify the sentiment polarity of opinion
words expressed on a specific aspect of a sentence. Although a large majority of works …
words expressed on a specific aspect of a sentence. Although a large majority of works …
The evolution of sentiment analysis—A review of research topics, venues, and top cited papers
Sentiment analysis is one of the fastest growing research areas in computer science, making
it challenging to keep track of all the activities in the area. We present a computer-assisted …
it challenging to keep track of all the activities in the area. We present a computer-assisted …
Double embeddings and CNN-based sequence labeling for aspect extraction
One key task of fine-grained sentiment analysis of product reviews is to extract product
aspects or features that users have expressed opinions on. This paper focuses on …
aspects or features that users have expressed opinions on. This paper focuses on …
[HTML][HTML] Improving sentiment analysis via sentence type classification using BiLSTM-CRF and CNN
Different types of sentences express sentiment in very different ways. Traditional sentence-
level sentiment classification research focuses on one-technique-fits-all solution or only …
level sentiment classification research focuses on one-technique-fits-all solution or only …
[图书][B] Machine learning for text: An introduction
CC Aggarwal, CC Aggarwal - 2018 - Springer
The extraction of useful insights from text with various types of statistical algorithms is
referred to as text mining, text analytics, or machine learning from text. The choice of …
referred to as text mining, text analytics, or machine learning from text. The choice of …
Aspect extraction for opinion mining with a deep convolutional neural network
In this paper, we present the first deep learning approach to aspect extraction in opinion
mining. Aspect extraction is a subtask of sentiment analysis that consists in identifying …
mining. Aspect extraction is a subtask of sentiment analysis that consists in identifying …
A review of natural language processing techniques for opinion mining systems
S Sun, C Luo, J Chen - Information fusion, 2017 - Elsevier
As the prevalence of social media on the Internet, opinion mining has become an essential
approach to analyzing so many data. Various applications appear in a wide range of …
approach to analyzing so many data. Various applications appear in a wide range of …
A survey on opinion mining and sentiment analysis: tasks, approaches and applications
With the advent of Web 2.0, people became more eager to express and share their opinions
on web regarding day-to-day activities and global issues as well. Evolution of social media …
on web regarding day-to-day activities and global issues as well. Evolution of social media …