Sentiment analysis comes under the umbrella of Natural Language Processing, click here to read about the best and free resources to get started with NLP. Sentiment analysis is like a gateway to AI based text analysis. For any company or data scientist looking to extract meaning out of an ...
1366 papers with code • 40 benchmarks • 97 datasets Sentiment Analysis is the task of classifying the polarity of a given text. For instance, a text-based tweet can be categorized into either "positive", "negative", or "neutral". Given the text and accompanying labels, a model can...
49. Context-aware Embedding for Targeted Aspect-based Sentiment Analysis会议:ACL 2019.作者:Bin Liang, Jiachen Du, Ruifeng Xu, Binyang Li, Hejiao Huang链接:aclweb.org/anthology/P150. Attention and Lexicon Regularized LSTM for Aspect-based Sentiment Analysis会议:ACL 2019. Student Research Workshop...
1439 papers with code • 40 benchmarks • 99 datasets Sentiment Analysis is the task of classifying the polarity of a given text. For instance, a text-based tweet can be categorized into either "positive", "negative", or "neutral". Given the text and accompanying labels, a model can...
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 literature review, where we utilize both text mining and qualitative coding, and analyze 6,996 papers from ...
The process of finding out the frequency of citations for various journals or articles or research papers is known as citation analysis. The impact of any research paper can be found by computing the number of citations, the particular journal or paper received. Many researchers quote concepts ...
Sentiment analysis is a fundamental and valuable task in NLP. However, due to limitations in data and technological availability, research into sentiment analysis of African languages has been fragmented and lacking. With the recent release of the AfriSenti-SemEval Shared Task 12, hosted as a part...
evaluation and application.Finally,we conclude the topic and provide a brief description about the trends of sentiment analysis.Research communities in China have put much effort on this topic,and achieved a number of influential results and published lots of high-impact papers.In this paper,we ...
This opens a new trend of research of using the NLP as a preprocessing stage before sentiment analysis. Although [1] mentioned the problems of opinion aggregation and contradiction analysis, they were not found in the recent articles presented by this survey. This means that they do not attract...
Thereafter, we take a snapshot of the state of the art in computational Sentiment Analysis, as it has developed since roughly 2000. Combining these two viewpoints leads us to assessing the gap between the broader notion of Subjectivity Analysis and the subfields that language technology research ...