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A related task to sentiment analysis is the subjectivity analysis with the goal of labeling an opinion as either subjective or objective.

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Datasets

Latest papers with code

Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach

9 May 2021atharva-naik/VADEC

For the regression task, VADEC, when trained with SenWave, achieves 7. 6% and 16. 5% gains in Pearson Correlation scores over the current state-of-the-art on the EMOBANK dataset for the Valence (V) and Dominance (D) affect dimensions respectively.

EMOTION CLASSIFICATION SUBJECTIVITY ANALYSIS

4
09 May 2021

Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on the Web

WS 2018 DeFacto/WebCredibility

To this aim, an important step to detect fake-news is to have access to a credibility score for a given information source.

FACT CHECKING FAKE NEWS DETECTION SUBJECTIVITY ANALYSIS WEB CREDIBILITY

8
03 Sep 2018

Translations as Additional Contexts for Sentence Classification

14 Jun 2018rktamplayo/MCFA

We are the first to use translations as domain-free contexts for sentence classification.

GENERAL CLASSIFICATION SENTENCE CLASSIFICATION SUBJECTIVITY ANALYSIS

4
14 Jun 2018

Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms

ACL 2018 dinghanshen/SWEM

Many deep learning architectures have been proposed to model the compositionality in text sequences, requiring a substantial number of parameters and expensive computations.

DOCUMENT CLASSIFICATION GENERAL CLASSIFICATION NAMED ENTITY RECOGNITION SENTIMENT ANALYSIS SUBJECTIVITY ANALYSIS WORD EMBEDDINGS

283
24 May 2018

Universal Sentence Encoder

29 Mar 2018facebookresearch/InferSent

For both variants, we investigate and report the relationship between model complexity, resource consumption, the availability of transfer task training data, and task performance.

CONVERSATIONAL RESPONSE SELECTION SEMANTIC TEXTUAL SIMILARITY SENTENCE EMBEDDINGS SENTIMENT ANALYSIS SUBJECTIVITY ANALYSIS TEXT CLASSIFICATION TRANSFER LEARNING WORD EMBEDDINGS

2,126
29 Mar 2018

Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement Learning

3 Feb 2018pliang279/MFN

In this paper, we propose the Gated Multimodal Embedding LSTM with Temporal Attention (GME-LSTM(A)) model that is composed of 2 modules.

MULTIMODAL SENTIMENT ANALYSIS SUBJECTIVITY ANALYSIS

67
03 Feb 2018

All-but-the-Top: Simple and Effective Postprocessing for Word Representations

ICLR 2018 lgalke/vec4ir

The postprocessing is empirically validated on a variety of lexical-level intrinsic tasks (word similarity, concept categorization, word analogy) and sentence-level tasks (semantic textural similarity and { text classification}) on multiple datasets and with a variety of representation methods and hyperparameter choices in multiple languages; in each case, the processed representations are consistently better than the original ones.

GENERAL CLASSIFICATION SENTIMENT ANALYSIS SUBJECTIVITY ANALYSIS TEXT CLASSIFICATION

191
05 Feb 2017