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Bag of words [ 16] is an algorithm used in natural language processing responsible for counting the number of times of all the tokens in review or document. A term or token can be called one word (unigram), or any subjective number of words, n-grams. In this study, ( 1, 2) n-gram range is chosen. OverviewMaterialsConceptual challenges Sentiment analysis in industry Affective computingOur primary datasets Associated materials 1.Code a. sst.py b. sst_01_overview.ipynb c. sst_02_hand_build_features.ipynb d. sst_03_neural_networks.ipynb 2.Homework and bake-off: hw_sentiment.ipynb 3.Core reading: Socher et al. 2013; Potts et al. 2020 Phase 2 Phase 3 Phase 4 Phase 5 Phase 6 Phase 7 11 April 18 April 23 April 29 April 6 May 12 May 19 May Andhra Pradesh: 25: 25 Arunachal Pradesh: 2: 2 Assam: 14: 5 5 4 Bihar: 40: 4 5 5 5 5 8 8 Chhattisgarh: 11: 1 3 7 Goa: 2: 2 Gujarat: 26: 26 Haryana: 10: 10 Himachal Pradesh: 4: 4 Jammu and Kashmir: 6: 2 2 1 ⁄ 3: 1 ⁄ 3: 1 1 ⁄ 3: Jharkhand ... 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