Changes between Version 36 and Version 37 of private/AdvancedNlpCourse/OpinionSentiment


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Timestamp:
Oct 8, 2020, 10:17:06 AM (3 months ago)
Author:
Ales Horak
Comment:

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  • private/AdvancedNlpCourse/OpinionSentiment

    v36 v37  
    2424=== Technical Requirements ===
    2525
     26The task will proceed using Python notebook run in web browser in the [https://colab.research.google.com/ Google Colaboratory] environment
     27with the MU G-Suite disk access.
     28
     29In case of running the codes in a local environment, the requirements are
     30Python 3, jupyter notebook, modules NLTK, scipy, numpy, pandas, and sklearn.
    2631
    2732
     
    3136We use the Liu's Opinion Lexion. For Czech SA, we use the automatically translated version. Next, we try to compensate drawbacks of the lexicon by computing word vectors in a simple way.
    3237
    33 Requirements: Google Colab environment: https://colab.research.google.com/drive/1j9f28cnFrcRmWKhylP6kXhMwtksnhyCo?usp=sharing
     38Access the [https://colab.research.google.com/drive/1j9f28cnFrcRmWKhylP6kXhMwtksnhyCo Python notebook in the Google Colab environment]. Do not forget to save your work if you want to see your changes later, leaving the browser will throw away all changes!
    3439
    3540OR
    3641
    37 (local version) Python 3, jupyter notebook, modules NLTK, scipy, numpy, pandas, sklearn
     42(local version)
    3843
    39 In case of Google Colab don't forget to save your work if you want to see your changes later!
    4044
    41 Files: [raw-attachment:cestina20.csv cestina20.csv], [raw-attachment:cestina20_annotation.csv cestina20_annotation.csv],
    42 [raw-attachment:urban_dictionary.csv urban_dictionary.csv]
    43  [raw-attachment:Word_Vectors_and_Sentiment.ipynb Word_Vectors_and_Sentiment.ipynb], [raw-attachment:negative-words-en.txt negative-words-en.txt], [raw-attachment:negative-words-cs.txt negative-words-cs.txt], [raw-attachment:positive-words-en.txt positive-words-en.txt], [raw-attachment:positive-words-cs.txt positive-words-cs.txt]
     45Files: [raw-attachment:Word_Vectors_and_Sentiment.ipynb Word_Vectors_and_Sentiment.ipynb], [raw-attachment:cestina20.csv cestina20.csv], [raw-attachment:cestina20_annotation.csv cestina20_annotation.csv],
     46[raw-attachment:urban_dictionary.csv urban_dictionary.csv], [raw-attachment:negative-words-en.txt negative-words-en.txt], [raw-attachment:negative-words-cs.txt negative-words-cs.txt], [raw-attachment:positive-words-en.txt positive-words-en.txt], [raw-attachment:positive-words-cs.txt positive-words-cs.txt]
    4447
    45481. Create `<YOUR_FILE>`, a text file named ia161-UCO-01.txt where UCO is your university ID.