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Sentiment Analysis

229 papers with code · Natural Language Processing

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

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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

HLT 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).

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

Convolutional Neural Networks for Sentence Classification

EMNLP 2014 dennybritz/cnn-text-classification-tf

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

A Structured Self-attentive Sentence Embedding

9 Mar 2017jadore801120/attention-is-all-you-need-pytorch

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

NATURAL LANGUAGE INFERENCE SENTENCE EMBEDDING SENTIMENT ANALYSIS

Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks

IJCNLP 2015 tensorflow/fold

Because of their superior ability to preserve sequence information over time, Long Short-Term Memory (LSTM) networks, a type of recurrent neural network with a more complex computational unit, have obtained strong results on a variety of sequence modeling tasks.

SENTIMENT ANALYSIS

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