1081 Open source projects that are alternatives of or similar to sarcasm-detection-for-sentiment-analysis

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

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

📚 Text classification library with Keras

TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

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.

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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

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

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

Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger

nlp lecture-notes and source code

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

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

Sentiment Analysis with LSTMs in Tensorflow

Machine learning based text classification in JavaScript using n-grams and cosine similarity

Meta learning with BERT as a learner

Arabic support for textblob

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

Naive Bayes text classification implementation as an OmniCat classifier strategy. (#ruby #naivebayes)

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

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

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

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

文本情感分析

BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

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.

Tensorflow implementation of attention mechanism for text classification tasks.

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

LanguageCrunch NLP server docker image

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

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

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

Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

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

Attention-based multimodal fusion for sentiment analysis

sentiment analysis、文本分类、ALBERT、TextCNN、classification、tensorflow、BERT、CNN、text classification

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

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搜索所有中文NLP数据集，附常用英文NLP数据集

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

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

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

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

Machine Learning (EE 5184) in NTU

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