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SentimentalizerSentiment analysis with Machine Learning
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Nlp Projectsword2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding
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SentaBaidu's open-source Sentiment Analysis System.
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Artificial Adversary🗣️ Tool to generate adversarial text examples and test machine learning models against them
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Seg UncertaintyIJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo
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Snips NluSnips Python library to extract meaning from text
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Personality DetectionImplementation of a hierarchical CNN based model to detect Big Five personality traits
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TensorflowThis Repository contains all tensorflow tutorials.
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TrollLanguage sentiment analysis and neural networks... for trolls.
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TextanalyzerA text analyzer which is based on machine learning,statistics and dictionaries that can analyze text. So far, it supports hot word extracting, text classification, part of speech tagging, named entity recognition, chinese word segment, extracting address, synonym, text clustering, word2vec model, edit distance, chinese word segment, sentence similarity,word sentiment tendency, name recognition, idiom recognition, placename recognition, organization recognition, traditional chinese recognition, pinyin transform.
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Gather DeploymentGathers scalable tensorflow and infrastructure deployment
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SenpyA sentiment and emotion analysis server in Python
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HdltexHDLTex: Hierarchical Deep Learning for Text Classification
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FastrtextR wrapper for fastText
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XvisionChest Xray image analysis using Deep learning !
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ReactionrnnPython module + R package to predict the reactions to a given text using a pretrained recurrent neural network.
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Farm🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
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TextfoolerA Model for Natural Language Attack on Text Classification and Inference
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Pytorch Nlp NotebooksLearn how to use PyTorch to solve some common NLP problems with deep learning.
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Lotclass[EMNLP 2020] Text Classification Using Label Names Only: A Language Model Self-Training Approach
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Cs291k🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models
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Bigdata18Transfer learning for time series classification
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JfasttextJava interface for fastText
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Customer satisfaction analysis基于在线民宿 UGC 数据的意见挖掘项目,包含数据挖掘和NLP 相关的处理,负责数据采集、主题抽取、情感分析等任务。目的是克服用户打分和评论不一致,实时对在线民宿的满意度评测,包含在线评论采集和情感可视化分析。搭建了百度地图POI查询入口,可以进行自动化的批量查询 POI 信息的功能;构建了基于在线民宿语料的 LDA 自动主题聚类模型,利用主题中心词能找出对应的主题属性字典;以用户打分作为标注,然后 litNlp 自带的字符级 TextCNN 进行情感分析,将情感分类概率分布作为情感趋势,最后通过 POI 热力图的方式对不同地域的民宿满意度进行展示。软件版本请见链接。
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LaserembeddingsLASER multilingual sentence embeddings as a pip package
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HubA library for transfer learning by reusing parts of TensorFlow models.
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Spacy Transformers🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
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PynlpA pythonic wrapper for Stanford CoreNLP.
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Nlp With RubyCurated List: Practical Natural Language Processing done in Ruby
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Eda nlpData augmentation for NLP, presented at EMNLP 2019
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Uda pytorchUDA(Unsupervised Data Augmentation) implemented by pytorch
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Texting[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"
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Wallstreetbets Sentiment AnalysisThis program finds the most mentioned ticker on r/wallstreetbets and uses Vader SentimentIntensityAnalyzer to calculate the sentiment analysis.
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