NLP_Labs_MSc

This is a repository of the course NLP MSc Labs https://www.nltk.org/book/

Check out the YouTube Channel: Sinzsma for more technical content @sinzsma8841

Lab 1 Getting Started with NLTK Package for NLP Applications https://youtu.be/cf00Qe8CCuE
Lab 2a Text Preprocessing - Stop words removal etc for Text cleaning https://youtu.be/VAul3qNbmh4
Lab 2b & 2c TF, IDF, TF-IDF and FREQDIST (Probabilistic Distribution) - https://youtu.be/9qJ62MI_HV8
Lab 3a POS, NER (Basic), Chunking, etc. : https://youtu.be/0FEwbuvm9uM
Lab 3b Named Entity Recognition using SPACY : https://youtu.be/puCfvD09ZCw
Lab 3c Topic Modeling using Latent Dirichlet Allocation (LDA) https://youtu.be/dVkOjDBmsk0
Lab 4a - Cosine Similarity : https://youtu.be/Znsd2NMmF_w
Lab 4b Bag of Words Concept detailed https://youtu.be/HX-daah5_0g
Lab 4c, 4d Word2Vec using SkipGram Model https://youtu.be/IQKFYzIaODo
Lab 5a NGram Models in NLP Explained. https://youtu.be/H3Fgo5dovN0
Lab 5b 5c Text Classification Using Naive Bayes and MultinomialNB https://youtu.be/jHtqgFwJcIA
Lab 5d Text Classification-Evaluation Strategy - Confusion Matrix https://youtu.be/5rXm3LJCf9g
Lab 5e Evaluation Metric -AUC ROC https://youtu.be/vPDUUG516Vk
Lab 5f Text Classification using various ML Algorithms complete walkthrough Demo Code! https://youtu.be/ifNrU2yEcGg

Name		Name	Last commit message	Last commit date
Latest commit History 31 Commits
Corona_NLP_test.csv		Corona_NLP_test.csv
Corona_NLP_train.csv		Corona_NLP_train.csv
Data.csv		Data.csv
Lab 1 Getting started with NLTK.pdf		Lab 1 Getting started with NLTK.pdf
Lab 1a_GS_NLTK.ipynb		Lab 1a_GS_NLTK.ipynb
Lab 2a _Text Preprocessing.ipynb		Lab 2a _Text Preprocessing.ipynb
Lab 2b_tokenization.ipynb		Lab 2b_tokenization.ipynb
Lab 2c_TF.ipynb		Lab 2c_TF.ipynb
Lab 2d_TF_IDF.ipynb		Lab 2d_TF_IDF.ipynb
Lab 3a_NLTK_NER.ipynb		Lab 3a_NLTK_NER.ipynb
Lab 3b_Spacy NER.ipynb		Lab 3b_Spacy NER.ipynb
Lab 3c_LDA.ipynb		Lab 3c_LDA.ipynb
Lab 4a_Cosine Similarity.ipynb		Lab 4a_Cosine Similarity.ipynb
Lab 4b_BagofWords.ipynb		Lab 4b_BagofWords.ipynb
Lab 4c_word2vec_simple.ipynb		Lab 4c_word2vec_simple.ipynb
Lab 4d _Word2Vec_Skipgram.ipynb		Lab 4d _Word2Vec_Skipgram.ipynb
Lab 4e_NGrams.ipynb		Lab 4e_NGrams.ipynb
Lab 5a_NGrams.ipynb		Lab 5a_NGrams.ipynb
Lab 5b _NaiveBayesClassifier.ipynb		Lab 5b _NaiveBayesClassifier.ipynb
Lab 5c_Text Classifier_MNB.ipynb		Lab 5c_Text Classifier_MNB.ipynb
Lab 5d_Confusion Matrix.ipynb		Lab 5d_Confusion Matrix.ipynb
Lab 5e_ Eval_AUC_ROC.ipynb		Lab 5e_ Eval_AUC_ROC.ipynb
Lab 5f_USeconomic Text Classification.ipynb		Lab 5f_USeconomic Text Classification.ipynb
Lab 6a_ SMSSPAM.ipynb		Lab 6a_ SMSSPAM.ipynb
Lab 6b_Next_word_prediction_using_LSTM.ipynb		Lab 6b_Next_word_prediction_using_LSTM.ipynb
Lab 6c_ Moview Review Classification.ipynb		Lab 6c_ Moview Review Classification.ipynb
Lab 6d_IMBD_RNN_LSTM.ipynb		Lab 6d_IMBD_RNN_LSTM.ipynb
Lab 6e IMdb Using LSTM001.ipynb		Lab 6e IMdb Using LSTM001.ipynb
Lab 6f_GRU_LSTM.ipynb		Lab 6f_GRU_LSTM.ipynb
README.md		README.md
SRP_Question_Answering_with_a_Fine_Tuned_BERT.ipynb		SRP_Question_Answering_with_a_Fine_Tuned_BERT.ipynb
US-Economic-News.csv		US-Economic-News.csv
all-data.csv		all-data.csv
kaggle.json		kaggle.json
poems-100.csv		poems-100.csv
sample.csv		sample.csv
spam.csv		spam.csv

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