673 Open source projects that are alternatives of or similar to Absa_keras

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

Attention-based multimodal fusion for sentiment analysis

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

Sentiment Analysis: Deep Bi-LSTM+attention model

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.

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

ConText v4: Neural networks for text categorization

Sentiment Analysis in Arabic tweets

Attention mechanism

Your Advanced Twitter stalking tool

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

Accurate and fast sentiment scoring of phrases with #hashtags, emoticons :) & emojis 🎉

sentiment analysis、情感分析、文本分类、基于字典、python、classification

Learn how to use Kinesis Firehose, AWS Glue, S3, and Amazon Athena by streaming and analyzing reddit comments in realtime. 100-200 level tutorial.

Predict materials properties using only the composition information!

An easy to use python package for deep learning-based german sentiment classification.

codes for paper "Domain Attention Model for Multi-Domain Sentiment Classification"

Sentiment Strength Detection in Bahasa Indonesia

A Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering

Система, анализирующая тональность текстов и высказываний.

Fine-grained Sentiment Analysis of User Reviews --- AI CHALLENGER 2018

Pointer-generator reinforced seq2seq summarization in PyTorch

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

Tensorflow implementation of attention mechanism for text classification tasks.

A Structured Self-attentive Sentence Embedding

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

An implementation of (Induced) Set Attention Block, from the Set Transformers paper

An emotion-polarity classifier specifically trained on developers' communication channels

Sentiment Analysis with Deep Learning models. Implemented with Tensorflow and Keras.

Scripts utilizing Heartex platform to build brand sentiment analysis from the news

An implementation of the Show, Attend and Tell paper in Tensorflow, for the OpenAI Im2LaTeX suggested problem

Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning

A data set and model for german sentiment classification.

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

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Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

a collection of visualization function

Repositori ini merupakan kumpulan dataset terkait analisis sentimen Berbahasa Indonesia. Apabila Anda menggunakan dataset-dataset yang ada pada repositori ini untuk penelitian, maka cantumkanlah/kutiplah jurnal artikel terkait dataset tersebut. Dataset yang tersedia telah diimplementasikan dalam beberapa penelitian dan hasilnya telah dipublikasi…

NLP with NLTK for Sentiment analysis amazon Products Reviews

A Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks

Hashformers is a framework for hashtag segmentation with transformers.

Machine Learning (EE 5184) in NTU

End-to-end ASR/LM implementation with PyTorch

Code for the paper "VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis", AAAI'19

An implementation of Performer, a linear attention-based transformer, in Pytorch

Repository with all what is necessary for sentiment analysis and related areas

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

🎤 Lyrics/associated NLP data for Billboard's Top 100, 1950-2015.

📚 Text classification library with Keras

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

Baidu's open-source Sentiment Analysis System.

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

A Tensorfflow implementation of Attend, Infer, Repeat

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

Attention-based bidirectional LSTM for Classification Task (ICASSP)

一些不同的Attention机制代码

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.