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Sentiment Analysis

336 papers with code · Natural Language Processing

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

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FINBERT: FINANCIAL SENTIMENT ANALYSIS WITH PRE-TRAINED LANGUAGE MODELS

ICLR 2020 ProsusAI/finBERT

While many sentiment classification solutions report high accuracy scores in product or movie review datasets, the performance of the methods in niche domains such as finance still largely falls behind.

LANGUAGE MODELLING SENTIMENT ANALYSIS TRANSFER LEARNING

100
01 Jan 2020

AdvCodec: Towards A Unified Framework for Adversarial Text Generation

22 Dec 2019aisecure/AdvCodec

In particular, we propose a tree-based autoencoder to encode discrete text data into continuous vector space, upon which we optimize the adversarial perturbation.

ADVERSARIAL TEXT QUESTION ANSWERING SENTIMENT ANALYSIS TEXT GENERATION

2
22 Dec 2019

BERTje: A Dutch BERT Model

19 Dec 2019wietsedv/bertje

The transformer-based pre-trained language model BERT has helped to improve state-of-the-art performance on many natural language processing (NLP) tasks.

LANGUAGE MODELLING NAMED ENTITY RECOGNITION PART-OF-SPEECH TAGGING SEMANTIC ROLE LABELING SENTIMENT ANALYSIS

20
19 Dec 2019

A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction

17 Dec 2019yangheng95/LCF-ATEPC

Aspect-based sentiment analysis (ABSA) task is a multi-grained task of natural language processing and consists of two subtasks: aspect term extraction (ATE) and aspect polarity classification (APC).

ASPECT-BASED SENTIMENT ANALYSIS MULTI-TASK LEARNING

9
17 Dec 2019

A Fine-grained Sentiment Dataset for Norwegian

28 Nov 2019ltgoslo/norec_fine

We here introduce NoReCfine, a dataset for fine-grained sentiment analysis in Norwegian, annotated with respect to polar expressions, targets and holders of opinion.

SENTIMENT ANALYSIS

2
28 Nov 2019

Word-Class Embeddings for Multiclass Text Classification

26 Nov 2019AlexMoreo/word-class-embeddings

Pre-trained word embeddings encode general word semantics and lexical regularities of natural language, and have proven useful across many NLP tasks, including word sense disambiguation, machine translation, and sentiment analysis, to name a few.

MACHINE TRANSLATION SENTIMENT ANALYSIS TEXT CLASSIFICATION WORD EMBEDDINGS WORD SENSE DISAMBIGUATION

2
26 Nov 2019

Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis

5 Nov 2019xuuuluuu/SemEval-Triplet-data

In this paper, we introduce a new subtask under ABSA, named aspect sentiment triplet extraction (ASTE).

ASPECT-BASED SENTIMENT ANALYSIS

5
05 Nov 2019

A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution

4 Nov 2019howardhsu/ASC_failure

Aspect-based sentiment classification (ASC) is an important task in fine-grained sentiment analysis.~Deep supervised ASC approaches typically model this task as a pair-wise classification task that takes an aspect and a sentence containing the aspect and outputs the polarity of the aspect in that sentence.

SENTIMENT ANALYSIS

2
04 Nov 2019

ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations

2 Nov 2019sinovation/ZEN

Moreover, it is shown that reasonable performance can be obtained when ZEN is trained on a small corpus, which is important for applying pre-training techniques to scenarios with limited data.

CHINESE NAMED ENTITY RECOGNITION CHINESE WORD SEGMENTATION DOCUMENT CLASSIFICATION NATURAL LANGUAGE INFERENCE PART-OF-SPEECH TAGGING SENTENCE PAIR MODELING SENTIMENT ANALYSIS

377
02 Nov 2019

A Game Theoretic Approach to Class-wise Selective Rationalization

NeurIPS 2019 code-terminator/classwise_rationale

Selection of input features such as relevant pieces of text has become a common technique of highlighting how complex neural predictors operate.

SENTIMENT ANALYSIS

5
28 Oct 2019