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Subjectivity Analysis

11 papers with code · Natural Language Processing

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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Latest papers with code

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.

FAKE NEWS DETECTION SUBJECTIVITY ANALYSIS WEB CREDIBILITY

7
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.

SENTENCE CLASSIFICATION SUBJECTIVITY ANALYSIS

3
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 NAMED ENTITY RECOGNITION SENTIMENT ANALYSIS SUBJECTIVITY ANALYSIS WORD EMBEDDINGS

252
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.

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

1,747
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 REGRESSION SUBJECTIVITY ANALYSIS

26
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.

SENTIMENT ANALYSIS SUBJECTIVITY ANALYSIS TEXT CLASSIFICATION

132
05 Feb 2017

The Evolution of Sentiment Analysis - A Review of Research Topics, Venues, and Top Cited Papers

5 Dec 2016M3SOulu/TrendMining

Sentiment analysis is one of the fastest growing research areas in computer science, making it challenging to keep track of all the activities in the area.

SENTIMENT ANALYSIS SUBJECTIVITY ANALYSIS

5
05 Dec 2016