Exploration of social media for sentiment analysis using deep learning
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DOI: 10.1007/s00500-019-04402-8
Abstract: With the rapid growth of web content from social media, such studies as online opinion mining or sentiment analysis of text have started receiving attention from government, industry, and academic sectors. In recent years, sentiment… read more here.
Keywords: social media; sentiment analysis; deep learning; sentiment ... See more keywords
High performing sentiment analysis based on fast Fourier transform over temporal intuitionistic fuzzy value
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DOI: 10.1007/s00500-021-06444-3
Abstract: Sentiment analysis or opinion mining has an extensive area in the field of research. Today we consider the huge amount of structured and unstructured data available in the web for a particular subject to get… read more here.
Keywords: analysis; temporal intuitionistic; sentiment; intuitionistic fuzzy ... See more keywords
Aspect-based sentiment analysis using deep networks and stochastic optimization
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DOI: 10.1007/s00521-019-04105-z
Abstract: Sentiment analysis, also known as opinion mining, is a computational study of unstructured textual information which is used to analyze a persons attitude from a piece of text. This paper proposes an efficient method for… read more here.
Keywords: based sentiment; sentiment; aspect based; optimization ... See more keywords
A novel aspect-based sentiment classifier using whale optimized adaptive neural network
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DOI: 10.1007/s00521-021-06660-w
Abstract: In the field of e-commerce applications, nowadays the aspect-based sentiment analysis has become vital and every consumer started focusing on various aspects of the product before making the purchase decision through online portals like Amazon,… read more here.
Keywords: aspect based; sentiment classification; sentiment; neural network ... See more keywords
Exploring overall opinions for document level sentiment classification with structural SVM
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DOI: 10.1007/s00530-017-0550-0
Abstract: As a fundamental task of sentiment analysis, document level sentiment classification aims to predict user’s overall sentiment (e.g., positive or negative) towards the target in a document. The document usually consists of various opinion sentences… read more here.
Keywords: sentiment classification; document; opinion sentences; sentiment ... See more keywords
User-aware topic modeling of online reviews
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DOI: 10.1007/s00530-017-0557-6
Abstract: The online reviews are one type of social media which are opinions generated by the users to comment on some special items. Since the sentiments are dependent on topics, probabilistic topic models have been widely… read more here.
Keywords: user; online reviews; sentiment; user aware ... See more keywords
What investors say is what the market says: measuring China’s real investor sentiment
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DOI: 10.1007/s00779-021-01542-3
Abstract: This paper describes a novel approach to measure individual investor sentiment using text-based analysis of millions of posts extracted from Chinese financial online forums. We describe how we built a database of more than 200… read more here.
Keywords: investor sentiment; market; sentiment; individual investor ... See more keywords
A valences-totaling model for English sentiment classification
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DOI: 10.1007/s10115-017-1054-0
Abstract: Sentiment classification plays an important role in everyday life, in political activities, activities of commodity production and commercial activities. Finding a time-effective and highly accurate solution to the classification of emotions is challenging. Today, there… read more here.
Keywords: new model; english sentiment; sentiment; model ... See more keywords
Sentiment analysis with deep neural networks: comparative study and performance assessment
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DOI: 10.1007/s10462-020-09845-2
Abstract: The current decade has witnessed the remarkable developments in the field of artificial intelligence, and the revolution of deep learning has transformed the whole artificial intelligence industry. Eventually, deep learning techniques have become essential components… read more here.
Keywords: deep neural; neural networks; sentiment; deep learning ... See more keywords
Hybrid sentiment classification on twitter aspect-based sentiment analysis
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DOI: 10.1007/s10489-017-1098-6
Abstract: Social media sites and applications, including Facebook, YouTube, Twitter and blogs, have become major social media attractions today. The huge amount of information from this medium has become an attractive resource for organisations to monitor… read more here.
Keywords: classification; sentiment; twitter; sentiment classification ... See more keywords
Is position important? deep multi-task learning for aspect-based sentiment analysis
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DOI: 10.1007/s10489-020-01760-x
Abstract: The position information of aspect is essential and useful for aspect-based sentiment analysis, while how to model the position of the aspect effectively during aspect-based sentiment analysis has not been well studied. Inspired by the… read more here.
Keywords: based sentiment; position; sentiment; aspect based ... See more keywords