├── .gitignore ├── Contributing.md ├── Disclaimers.md ├── LICENSE ├── README.md ├── appendix └── ner_demo │ ├── .gitignore │ ├── README.md │ ├── project.yml │ ├── requirements.txt │ └── scripts │ └── visualize_model.py ├── ch01 └── README.md ├── ch02 ├── 01_WebScraping_using_BeautifulSoup.ipynb ├── 02_WebScraping_using_scrapy │ ├── README.md │ └── tutorial │ │ ├── output.csv │ │ ├── output.json │ │ ├── scrapy.cfg │ │ └── tutorial │ │ ├── __init__.py │ │ ├── items.py │ │ ├── middlewares.py │ │ ├── pipelines.py │ │ ├── settings.py │ │ └── spiders │ │ ├── .books_spider.py.swp │ │ ├── __init__.py │ │ └── books_spider.py ├── 03_Extracting_text_from_images_tesseract.ipynb ├── 04_Tokenization_Stemming_lemmatization_stopword_postagging.ipynb ├── 05_Data_Augmentation_Using_NLPaug.ipynb ├── 06_Snorkel.ipynb └── README.md ├── ch03 ├── 01_OneHotEncoding.ipynb ├── 02_Bag_of_Words.ipynb ├── 03_Bag_of_N_Grams.ipynb ├── 04_TF_IDF.ipynb ├── 05_Pre_Trained_Word_Embeddings.ipynb ├── 06_Training_embeddings_using_gensim.ipynb ├── 07_DocVectors_using_averaging_Via_spacy.ipynb ├── 08_Training_Dov2Vec_using_Gensim.ipynb ├── 09_Visualizing_Embeddings_Using_TSNE.ipynb ├── 10_Visualizing_Embeddings_using_Tensorboard.ipynb ├── README.md └── models │ └── word2vec_cbow.bin ├── ch04 ├── 01_OnePipeline_ManyClassifiers.ipynb ├── 02_Doc2Vec_Example.ipynb ├── 03_Word2Vec_Example.ipynb ├── 04_FastText_Example.ipynb ├── 05_DeepNN_Example.ipynb ├── 06_BERT_IMDB_Sentiment_Classification.ipynb ├── 07_BERT_Sentiment_Classification_IMDB_ktrain.ipynb ├── 08_LimeDemo.ipynb ├── 09_Lime_RNN.ipynb ├── 10_ShapDemo.ipynb ├── 11_SpamClassification.ipynb ├── README.md └── data │ ├── Data_Info.txt │ ├── Full-Economic-News-DFE-839861.csv │ ├── Sentiment and Emotion in Text │ ├── test_data.csv │ └── train_data.csv │ └── sentiment labelled sentences │ ├── amazon_cells_labelled.txt │ ├── imdb_labelled.txt │ ├── readme.txt │ └── yelp_labelled.txt ├── ch05 ├── 01_KPE.ipynb ├── 02_NERTraining.ipynb ├── 03_NERIssues.ipynb ├── 04_NER_using_spaCy_CoNLL.ipynb ├── 05_BERT_CONLL_NER.ipynb ├── 06_EntityLinking_AzureTextAnalytics.ipynb ├── 07_REWatson.ipynb ├── 08_Duckling.ipynb ├── README.md └── data │ ├── conll2003 │ └── en │ │ ├── metadata │ │ ├── test.txt │ │ ├── train.txt │ │ └── valid.txt │ ├── conlldata │ ├── test.txt │ ├── train.txt │ └── valid.txt │ ├── myarticle.txt │ └── nlphistory.txt ├── ch06 ├── 01_CNN_RNN_ATIS_intents.ipynb ├── 02_BERT_ATIS.ipynb ├── 03_BERT_ATIS_Binary.ipynb ├── 04_CRF_SNIPS_slots.ipynb ├── 05_BERT_SNIPS.ipynb ├── 06_chatfuelbot.ipynb ├── README.md └── data │ ├── data2 │ ├── atis-2.dev.w-intent.iob │ ├── atis-2.train.w-intent.iob │ ├── atis.test.w-intent.iob │ └── atis.train.w-intent.iob │ ├── snips │ ├── train_PlayMusic_full.json │ └── validate_PlayMusic.json │ ├── utils.py │ └── utils.pyc ├── ch07 ├── 01_ElasticSearch.ipynb ├── 02_TopicModelling.ipynb ├── 03_TextSummarization.ipynb ├── 04_RecommenderSystems.ipynb ├── 05_MachineTranslation.ipynb ├── README.md └── data │ ├── futureinternet-11-00255.pdf │ ├── nlphistory.txt │ └── nlphistory_without_references.txt ├── ch08 ├── 01_WordCloud.ipynb ├── 02_DifferentTokenizers.ipynb ├── 03_TrendingTopics.ipynb ├── 04_Sentiment_Analysis_Textblob.ipynb ├── 06_SMTD_embeddings.ipynb ├── O5_smtd_preprocessing.py ├── README.md ├── TwitterSentiment_2.ipynb ├── Twitter_Sentiment_Analysis_2.ipynb └── data │ ├── Chapter4.txt │ └── sts_gold_tweet.csv ├── ch09 ├── 01_Aspect_Based_Sentiment_analysis.ipynb └── README.md ├── ch10 ├── 01_BioBERT_Demo.ipynb ├── 02_LexNLP.ipynb ├── 03_FinBERT.ipynb ├── README.md ├── data │ ├── FinBERT_Data.csv │ └── test - Copy.docx └── spaCy_bert_vs_pubmedbert.ipynb ├── ch11 ├── 01_AutoML_Demo.ipynb ├── 02_auto_sklearn_mnist.ipynb └── README.md ├── practical-nlp-ja.png └── requirements.txt /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/oreilly-japan/practical-nlp-ja/HEAD/.gitignore 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