Changes between Version 38 and Version 39 of private/NlpInPracticeCourse/Stylometry

Timestamp:

Oct 10, 2024, 1:01:31 PM (9 months ago)

Author:

xsabol

Comment:

Add colab homework

private/NlpInPracticeCourse/Stylometry

@@ -25 +25 @@
  1. Lukin, E., Roberts, J.C., Berdik, D. et al. Adjectives and adverbs as stylometric analysis parameters. Int J Digit Humanities (2023). [[https://link.springer.com/article/10.1007/s42803-023-00065-y | link]]
 
-== Practical Session ==
+== Practical Session (For working in Google Colab) ==
+
+The task will proceed using Python notebook run in a web browser in the [https://colab.research.google.com/ Google Colaboratory] environment with the MU G-Suite disk access.
+
+In the case of running the codes in a local environment, the requirements are Python 3 and Jupyter Notebook. 
+
+=== Stylometric Feature Extraction ===
+
+In this workshop, we will experiment with a feature extraction of style markers.
+
+Access the [https://colab.research.google.com/drive/1Z27N9R836UgPY1AZSiK4wWve7jB6ow-O?usp=sharing 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!
+
+1. Follow the instructions present in the notebook
+2. Implement a feature extractor that improves the performance of existing system
+3. Download and submit your `assignment.py` and upload it to the homework vault
+
+== Practical Session (For working in terminal) ==
 
 {{{
@@ -35 +51 @@
 The goal will be to implement a small function to extract style markers from a text.
 
-1. go to `asteria04.fi.muni.cz` server:
-{{{
-ssh asteria04.fi.muni.cz
-}}}
-2. Download a  [[htdocs:bigdata/stylometry-assignment.zip|ZIP with python packages of the assignment]] 
+1. Download a  [[htdocs:bigdata/stylometry-assignment.zip|ZIP with python packages of the assignment]] 
 {{{
 wget https://nlp.fi.muni.cz/trac/research/chrome/site/bigdata/stylometry-assignment.zip
 }}}
-3. Unzip the downloaded file
+2. Unzip the downloaded file
 {{{
 unzip stylometry-assignment.zip
 }}}
-4. Go to the unziped folder
+3. Go to the unziped folder
 {{{
 cd sir-assignment
 }}}
-5. Test the prepared program that analyses data from on-line dating services to distinguish gender (masculine/feminine) by text style features
+4. Test the prepared program that analyses data from on-line dating services to distinguish gender (masculine/feminine) by text style features
 {{{
 ./run.sh