[Coursera] Natural Language Processing (Stanford University) (nlp)
Stanford University

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01_Week_1_-_Course_Introduction/01_Course_Introduction_14-11.mp412.85MB
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01_Week_1_-_Course_Introduction/01_Course_Introduction_14-11.pptx2.10MB
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02_Week_1_-_Basic_Text_Processing/01_Regular_Expressions_11-25.mp411.37MB
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02_Week_1_-_Basic_Text_Processing/02_Regular_Expressions_in_Practical_NLP_6-04.mp48.35MB
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02_Week_1_-_Basic_Text_Processing/03_Word_Tokenization_14-26.mp413.07MB
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02_Week_1_-_Basic_Text_Processing/04_Word_Normalization_and_Stemming_11-47.mp410.57MB
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03_Week_1_-_Edit_Distance/01_Defining_Minimum_Edit_Distance_7-04.mp46.92MB
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04_Week_2_-_Language_Modeling/01_Introduction_to_N-grams_8-41.mp48.01MB
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04_Week_2_-_Language_Modeling/02_Estimating_N-gram_Probabilities_9-38.mp49.94MB
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04_Week_2_-_Language_Modeling/06_Interpolation_10-25.mp49.83MB
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04_Week_2_-_Language_Modeling/07_Good-Turing_Smoothing_15-35.mp414.09MB
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04_Week_2_-_Language_Modeling/08_Kneser-Ney_Smoothing_8-59.mp48.85MB
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05_Week_2_-_Spelling_Correction/03_Real-Word_Spelling_Correction_9-19.mp48.98MB
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05_Week_2_-_Spelling_Correction/04_State_of_the_Art_Systems_7-10.mp46.93MB
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06_Week_3_-_Text_Classification/01_What_is_Text_Classification_8-12.mp48.08MB
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06_Week_3_-_Text_Classification/02_Naive_Bayes_3-19.mp43.41MB
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06_Week_3_-_Text_Classification/03_Formalizing_the_Naive_Bayes_Classifier_9-28.mp48.58MB
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06_Week_3_-_Text_Classification/04_Naive_Bayes-_Learning_5-22.mp46.49MB
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06_Week_3_-_Text_Classification/07_Precision_Recall_and_the_F_measure_16-16.mp416.48MB
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06_Week_3_-_Text_Classification/08_Text_Classification-_Evaluation_7-17.mp412.11MB
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07_Week_3_-_Sentiment_Analysis/01_What_is_Sentiment_Analysis_7-17.mp410.02MB
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07_Week_3_-_Sentiment_Analysis/03_Sentiment_Lexicons_8-37.mp411.09MB
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07_Week_3_-_Sentiment_Analysis/04_Learning_Sentiment_Lexicons_14-45.mp419.56MB
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08_Week_4_-_Discriminative_classifiers-_Maximum_Entropy_classifiers/01_Generative_vs._Discriminative_Models_7-49.mp48.31MB
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22_Week_8_-_Summarization/03_Evaluating_Summaries-_ROUGE.mp46.85MB
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