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 …
KnowMIS-ABSA: an overview and a reference model for applications of sentiment analysis and aspect-based sentiment analysis
The analysis of the opinions of customers and users has been always of great interest in
supporting decision-making in many fields, especially in marketing. Sentiment analysis (SA) …
supporting decision-making in many fields, especially in marketing. Sentiment analysis (SA) …
[KSIĄŻKA][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 …
[KSIĄŻKA][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 …
Evaluative language beyond bags of words: Linguistic insights and computational applications
F Benamara, M Taboada, Y Mathieu - Computational Linguistics, 2017 - direct.mit.edu
The study of evaluation, affect, and subjectivity is a multidisciplinary enterprise, including
sociology, psychology, economics, linguistics, and computer science. A number of excellent …
sociology, psychology, economics, linguistics, and computer science. A number of excellent …
[PDF][PDF] Exploiting domain knowledge in aspect extraction
Aspect extraction is one of the key tasks in sentiment analysis. In recent years, statistical
models have been used for the task. However, such models without any domain knowledge …
models have been used for the task. However, such models without any domain knowledge …
Domain adaptation using domain similarity-and domain complexity-based instance selection for cross-domain sentiment analysis
R Remus - 2012 IEEE 12th international conference on data …, 2012 - ieeexplore.ieee.org
We propose an approach to domain adaptation that selects instances from a source domain
training set, which are most similar to a target domain. The factor by which the original …
training set, which are most similar to a target domain. The factor by which the original …
Relational features in fine-grained opinion analysis
Fine-grained opinion analysis methods often make use of linguistic features but typically do
not take the interaction between opinions into account. This article describes a set of …
not take the interaction between opinions into account. This article describes a set of …
[PDF][PDF] Syntactic and semantic structure for opinion expression detection
We demonstrate that relational features derived from dependency-syntactic and semantic
role structures are useful for the task of detecting opinionated expressions in natural …
role structures are useful for the task of detecting opinionated expressions in natural …
Aspect-oriented sentiment analysis of customer reviews using distant supervision techniques
J Broß - 2013 - refubium.fu-berlin.de
Kundenrezensionen im Internet spielen heutzutage eine wichtige Rolle bei unseren
alltäglichen Kaufentscheidungen. Ebenso sind die unzähligen Produktbewertungen von …
alltäglichen Kaufentscheidungen. Ebenso sind die unzähligen Produktbewertungen von …