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Sentiment Analysis

337 papers with code ยท Natural Language Processing

Sentiment analysis is the task of classifying the polarity of a given text.

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Latest papers without code

ARAACOM: ARAbic Algerian Corpus for Opinion Mining

22 Jan 2020

Opinion mining in the web becomes more and more an attracting task, due the increasing need for individuals and societies to track the mood of people against several subjects of daily life (sports, politics, television,...).

OPINION MINING SENTIMENT ANALYSIS

Emotion and Sentiment Lexicon Impact on Sentiment Analysis Applied to Book Reviews

22 Jan 2020

Sentiment analysis afford detecting polarity (positive, negative, neutral) in a expressed opinion and therefore classifying those reviews.

SENTIMENT ANALYSIS

Knowledge Discovery from Social Media using Big Data provided Sentiment Analysis (SoMABiT)

16 Jan 2020

In todays competitive business world, being aware of customer needs and market-oriented production is a key success factor for industries.

SENTIMENT ANALYSIS

A BERT based Sentiment Analysis and Key Entity Detection Approach for Online Financial Texts

14 Jan 2020

Aiming at the issue, we propose a sentiment analysis and key entity detection approach based on BERT, which is applied in online financial text mining and public opinion analysis in social media.

MACHINE READING COMPREHENSION NAMED ENTITY RECOGNITION SENTIMENT ANALYSIS

Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits

13 Jan 2020

Next, we develop a DistanceNet model which uses these distance measures, or a mixture of these distance measures, as an additional loss function to be minimized jointly with the task's loss function, so as to achieve better unsupervised domain adaptation.

SENTIMENT ANALYSIS TEXT CLASSIFICATION UNSUPERVISED DOMAIN ADAPTATION

Multi-source Domain Adaptation for Visual Sentiment Classification

12 Jan 2020

Existing domain adaptation methods on visual sentiment classification typically are investigated under the single-source scenario, where the knowledge learned from a source domain of sufficient labeled data is transferred to the target domain of loosely labeled or unlabeled data.

DOMAIN ADAPTATION SENTIMENT ANALYSIS

Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction

7 Jan 2020

In this paper, we propose a novel model to transfer these opinions knowledge from resource-rich review sentiment classification datasets to low-resource task TOWE.

SENTIMENT ANALYSIS

Generating Word and Document Embeddings for Sentiment Analysis

5 Jan 2020

In this paper, we combine contextual and supervised information with the general semantic representations of words occurring in the dictionary.

SENTIMENT ANALYSIS

Adapting Deep Learning for Sentiment Classification of Code-Switched Informal Short Text

4 Jan 2020

Such informal and code-switched content are under-resourced in terms of labeled datasets and language models even for popular tasks like sentiment classification.

LEXICAL NORMALIZATION SENTIMENT ANALYSIS