1025 Open source projects that are alternatives of or similar to ntua-slp-semeval2018

Sentiment Analysis: Deep Bi-LSTM+attention model

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

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

Attention-based multimodal fusion for sentiment analysis

Attention-based bidirectional LSTM for Classification Task (ICASSP)

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

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

Keras Implementation of Aspect based Sentiment Analysis

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

📚 Text classification library with Keras

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

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

a collection of visualization function

LSTM RNN for sentiment-based stock prediction

Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models

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

Implementation of a hierarchical CNN based model to detect Big Five personality traits

文本情感分析

Sentiment Analysis with LSTMs in Tensorflow

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.

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

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

This repo contains implementation of different architectures for emotion recognition in conversations.

Multimodal sentiment analysis using hierarchical fusion with context modeling

TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"

This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study

No description or website provided.

Bidirectional Character LSTM for Sentiment Analysis - Tensorflow Implementation

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

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

Repository for the experiments described in the paper named "DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus"

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

基于LSTM网络与自注意力机制对中文评论进行细粒度情感分析

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

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

All about Neural Networks!

Tensorflow implementation of attention mechanism for text classification tasks.

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

Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

CLUE Emotion Analysis Dataset 细粒度情感分析数据集

ConText v4: Neural networks for text categorization

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

Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

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

LSTM sentiment analysis. Please look at my another repo for SVM and Naive algorithem

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

Predict materials properties using only the composition information!

Sarcasm Detection for Sentiment Analysis

nlp lecture-notes and source code

Attention mechanism

Conversational text Analysis using various NLP techniques

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

XED multilingual emotion datasets

Context-Dependent Sentiment Analysis in User-Generated Videos

Enhanced BiLSTM Inference Model for Natural Language Inference

An emotion classifier of text containing technical content from the SE domain