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Pytorch Sentiment Analysis ⭐ 4,133

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

Iclr2016 ⭐ 184

Python code for training all models in the ICLR paper, "Towards Universal Paraphrastic Sentence Embeddings". These models achieve strong performance on semantic similarity tasks without any training or tuning on the training data for those tasks. They also can produce features that are at least as discriminative as skip-thought vectors for semantic similarity tasks at a minimum. Moreover, this code can achieve state-of-the-art results on entailment and sentiment tasks.

Socialsent ⭐ 171

Code and data for inducing domain-specific sentiment lexicons.

Datastories Semeval2017 Task4 ⭐ 171

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Fine Grained Sentiment ⭐ 126

A comparison and discussion of different NLP methods for 5-class sentiment classification on the SST-5 dataset.

Absa_keras ⭐ 103

Keras Implementation of Aspect based Sentiment Analysis

Hierarchical Sentiment ⭐ 96

Hierarchical Models for Sentiment Analysis in Pytorch

Ar Embeddings ⭐ 87

Sentiment Analysis for Arabic Text (tweets, reviews, and standard Arabic) using word2vec

📓 Long(er) text representation and classification using Doc2Vec embeddings

Pytorch_sentiment_rnn ⭐ 64

Example Recurrent Neural Networks for Sentiment Analysis (Aspect-Based) on SemEval 2014

Imn E2e Absa ⭐ 61

Code and dataset for ACL2019 ‘‘An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis’’.

Movie Review Sentiment Analysis Lstm Pytorch ⭐ 53

Classifying movie reviews as positive or negative using Word2Vec Embeddings & LSTM network

Char Cnn Text Classification Tensorflow ⭐ 52

Simple Convolutional Neural Network (CNN) for sentiment classification of Chinese movie reviews.

Ssan Self Attention Sentiment Analysis Classification ⭐ 52

Self-Attention: A Better Building Block for Sentiment Analysis Neural Network Classifiers - paper's code for the 9th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis - held in conjuction with EMNLP 2018

Zhuang Chen, Tieyun Qian: Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis. ACL 2020: 3685-3694

Sentiment Analysis Of Tweets In Russian ⭐ 46

Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.

Social Attention ⭐ 39

Code for the TACL paper "Overcoming Language Variation in Sentiment Analysis with Social Attention"

Deep Mlsa ⭐ 34

Code for WWW 2017 conference paper "Leveraging large amounts of weakly supervised data for multi-language sentiment classification"

Multi Domain Sentiment ⭐ 27

Code for the paper Learning Domain-specific Representations for Multi-Domain Sentiment Classification

Deep Recursive ⭐ 27

Implementation of a deep recursive net over binary parse trees (code for NIPS2014 paper)

Twitter Sentiment Analysis ⭐ 25

Sentiment Analysis on twitter using Keras / TensorFlow / GloVe

Embeddings.js ⭐ 23

Word embeddings for the web

Sentimentanalysis ⭐ 22

Sentiment Analysis: Deep Bi-LSTM+attention model

W2vsenti_sentiment Word Embedding Based On W2v ⭐ 21

graduation project : sentiment analysis with different word-embeddings @ huxi

Persian Sentiment Analyzer ⭐ 20

Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )

Compositional_code_learning ⭐ 19

Reproduce the results of paper "Compressing Word Embeddings via Deep Compositional Code Learning" accepted ICLR 2018

code for "Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification"

ELMo: Embeddings from Language Models. Using, visualizing and understanding EMLo by examples!

Qnn_torch ⭐ 14

Nncontextsentiment ⭐ 13

Learning Sentence Embeddings For Cross Domain Sentiment Classification ⭐ 11

Learning Sentence Embeddings with Auxiliary Tasks for Cross-Domain Sentiment Classification

Domainadaptedwordembeddings ⭐ 11

Germeval2017 Sentiment Detection ⭐ 11

Sentence Embeddings used in the GermEval-2017 Submission

Livesentiment ⭐ 11

Sentiment analysis app that runs on web using TensorFlowJS and React and on IOS using CoreML and React Native

Bilstm Cnn Crf Seq Ita ⭐ 10

Bi-directional LSTM-CNNs-CRF for Italian Sequence Labeling

Multitask_negation_for_sa ⭐ 10

Improving Sentiment Analysis with Multi-task Learning of Negation

Sentiment Analysis Arabic ⭐ 10

A deep learning (LSTM) sentiment analysis project to determine positive/negative sentiment in Arabic social media content.

Word_embedding_refine ⭐ 10

Nlp_resources ⭐ 10

Resources related to NLP

Sentilex ⭐ 10

Sentiment Lexicon Generation Suite

Sentiment Analysis For Product Reviews ⭐ 9

Sentiment Analysis using LSTM cells on Recurrent Networks. GloVe word embeddings were used for vector representation of words. Amazon Product Reviews were used as Dataset.

Rureviews ⭐ 8

An automatically annotated sentiment analysis dataset of product reviews in Russian.

Awesome Sentiment Analysis Papers ⭐ 7

情感分析书籍、论文、实现、框架

SemAxis: A Lightweight Framework to Characterize Domain-Specific Word Semantics Beyond Sentiment

Amazon Sentiment Keras Experiment ⭐ 6

Experimenting with sentiment classification of Amazon reviews using deep learning

Lstm Tensorflow ⭐ 6

Implementation of Long Short Term Memory networks in Tensorflow

Sentiment Classification Of Amazon Fine Food Reviews ⭐ 6

A deep learning model (Bidirectional LSTM) using pretrained word embeddings to do sentiment analysis on Amazon fine food reviews dataset.

gsitk is a framework to perform a wide variety of sentiment analysis tasks including dataset acquisition, text preprocessing, model design, and performance evaluation.

Repository for Configurable Semantic and Sentiment Emotion Detector (ConSSED).

Tensorflow Rnn Tutorials ⭐ 5

Tutorial on English to Hindi Transliteration using Seq2Seq Architecture in Tensorflow

Flair As Service ⭐ 5

Container-first, JSON-configurable, NLP REST service based on Flair

Dracula Sentiment Node ⭐ 5

node.js/Javascript implementation of Dracula - adapted to do deep sentiment analysis using character embeddings.

Sentiment_embeddings ⭐ 5

A scientific benchmark and comparison of the performance of sentiment analysis models in NLP on small to medium datasets

Torch implementation of word2vec and sentiment analysis

Sentiment Analysis With Word Embeddings ⭐ 5

A Sentiment Analysis model in keras to analyse toxic comments online . The Corpus is preprocessed using Glove Word Embeddings .

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