Browse > Natural Language Processing > Sentiment Analysis

Sentiment Analysis

364 papers with code · Natural Language Processing

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

Leaderboards

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

Latest papers with code

Predicting Strategic Behavior from Free Text

6 Apr 2020omerbp/Predicting-NLPGT

In ablation analysis, we demonstrate the importance of our modeling choices -- the representation of the text with the commonsensical personality attributes and our classifier -- to the predictive power of our model.

SENTIMENT ANALYSIS

1
06 Apr 2020

An Iterative Knowledge Transfer Network with Routing for Aspect-based Sentiment Analysis

4 Apr 2020XL2248/IKTN

Aspect-based sentiment analysis (ABSA) mainly involves three subtasks: aspect term extraction, opinion term extraction and aspect-level sentiment classification, which are typically handled separately or (partially) jointly.

ASPECT-BASED SENTIMENT ANALYSIS TRANSFER LEARNING

0
04 Apr 2020

A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis

4 Apr 2020XL2248/DREGCN

The aspect-based sentiment analysis (ABSA) task remains to be a long-standing challenge, which aims to extract the aspect term and then identify its sentiment orientation. In previous approaches, the explicit syntactic structure of a sentence, which reflects the syntax properties of natural language and hence is intuitively crucial for aspect term extraction and sentiment recognition, is typically neglected or insufficiently modeled.

ASPECT-BASED SENTIMENT ANALYSIS MULTI-TASK LEARNING

0
04 Apr 2020

Word2Vec: Optimal Hyper-Parameters and Their Impact on NLP Downstream Tasks

23 Mar 2020tosingithub/sdesk

However, wrong combination of hyper-parameters can produce poor quality vectors.

NAMED ENTITY RECOGNITION SENTIMENT ANALYSIS

7
23 Mar 2020

Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach

22 Mar 2020qiangyao1988/Toward-tag-free-ABSA

Existing aspect based sentiment analysis (ABSA) approaches leverage various neural network models to extract the aspect sentiments via learning aspect-specific feature representations.

ASPECT-BASED SENTIMENT ANALYSIS

1
22 Mar 2020

AraBERT: Transformer-based Model for Arabic Language Understanding

28 Feb 2020aub-mind/araBERT

Recently, with the surge of transformers based models, language-specific BERT based models have proven to be very efficient at language understanding, provided they are pre-trained on a very large corpus.

NAMED ENTITY RECOGNITION QUESTION ANSWERING SENTIMENT ANALYSIS

33
28 Feb 2020

Multilogue-Net: A Context Aware RNN for Multi-modal Emotion Detection and Sentiment Analysis in Conversation

arXiv preprint 2020 amanshenoy/multilogue-net

Sentiment Analysis and Emotion Detection in conversation is key in a number of real-world applications, with different applications leveraging different kinds of data to be able to achieve reasonably accurate predictions.

MULTIMODAL EMOTION RECOGNITION MULTIMODAL SENTIMENT ANALYSIS

13
19 Feb 2020

Multilogue-Net: A Context Aware RNN for Multi-modal Emotion Detection and Sentiment Analysis in Conversation

arXiv preprint 2020 amanshenoy/multilogue-net

Sentiment Analysis and Emotion Detection in conversation is key in a number of real-world applications, with different applications leveraging different kinds of data to be able to achieve reasonably accurate predictions.

EMOTION RECOGNITION IN CONTEXT EMOTION RECOGNITION IN CONVERSATION MULTIMODAL EMOTION RECOGNITION MULTIMODAL SENTIMENT ANALYSIS

13
19 Feb 2020

Towards Detection of Subjective Bias using Contextualized Word Embeddings

16 Feb 2020tanvidadu/Subjective-Bias-Detection

Subjective bias detection is critical for applications like propaganda detection, content recommendation, sentiment analysis, and bias neutralization.

SENTIMENT ANALYSIS WORD EMBEDDINGS

0
16 Feb 2020

Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning

1 Feb 2020SleepyBag/DAML

To improve domain-adapted sentiment classification by learning sentiment from the target domain as well, we devise a novel deep adversarial mutual learning approach involving two groups of feature extractors, domain discriminators, sentiment classifiers, and label probers.

SENTIMENT ANALYSIS

3
01 Feb 2020