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Sentiment Analysis

299 papers with code · Natural Language Processing

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

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Greatest papers with code

Adversarial Training Methods for Semi-Supervised Text Classification

25 May 2016tensorflow/models

Adversarial training provides a means of regularizing supervised learning algorithms while virtual adversarial training is able to extend supervised learning algorithms to the semi-supervised setting.

SENTIMENT ANALYSIS TEXT CLASSIFICATION WORD EMBEDDINGS

Effective Use of Word Order for Text Categorization with Convolutional Neural Networks

HLT 2015 tensorflow/models

Convolutional neural network (CNN) is a neural network that can make use of the internal structure of data such as the 2D structure of image data.

SENTIMENT ANALYSIS

Deep contextualized word representations

NAACL 2018 zalandoresearch/flair

We introduce a new type of deep contextualized word representation that models both (1) complex characteristics of word use (e. g., syntax and semantics), and (2) how these uses vary across linguistic contexts (i. e., to model polysemy).

CITATION INTENT CLASSIFICATION COREFERENCE RESOLUTION LANGUAGE MODELLING NAMED ENTITY RECOGNITION NATURAL LANGUAGE INFERENCE QUESTION ANSWERING SEMANTIC ROLE LABELING SENTIMENT ANALYSIS

A Structured Self-attentive Sentence Embedding

9 Mar 2017facebookresearch/pytext

This paper proposes a new model for extracting an interpretable sentence embedding by introducing self-attention.

NATURAL LANGUAGE INFERENCE SENTENCE EMBEDDING SENTIMENT ANALYSIS

Convolutional Neural Networks for Sentence Classification

EMNLP 2014 facebookresearch/pytext

We report on a series of experiments with convolutional neural networks (CNN) trained on top of pre-trained word vectors for sentence-level classification tasks.

SENTENCE CLASSIFICATION SENTIMENT ANALYSIS

XLNet: Generalized Autoregressive Pretraining for Language Understanding

19 Jun 2019zihangdai/xlnet

With the capability of modeling bidirectional contexts, denoising autoencoding based pretraining like BERT achieves better performance than pretraining approaches based on autoregressive language modeling.

DOCUMENT RANKING LANGUAGE MODELLING NATURAL LANGUAGE INFERENCE QUESTION ANSWERING READING COMPREHENSION SEMANTIC TEXTUAL SIMILARITY SENTIMENT ANALYSIS TEXT CLASSIFICATION

Character-level Convolutional Networks for Text Classification

NeurIPS 2015 gaussic/text-classification-cnn-rnn

This article offers an empirical exploration on the use of character-level convolutional networks (ConvNets) for text classification.

SENTIMENT ANALYSIS TEXT CLASSIFICATION

ERNIE 2.0: A Continual Pre-training Framework for Language Understanding

29 Jul 2019PaddlePaddle/ERNIE

Recently, pre-trained models have achieved state-of-the-art results in various language understanding tasks, which indicates that pre-training on large-scale corpora may play a crucial role in natural language processing.

LINGUISTIC ACCEPTABILITY MULTI-TASK LEARNING NATURAL LANGUAGE INFERENCE QUESTION ANSWERING SEMANTIC TEXTUAL SIMILARITY SENTIMENT ANALYSIS