Prahitha/IR-Project

IR-Project

Link to the project (zipped file):

https://drive.google.com/file/d/1Ritj6hxiE8nnnjm41yCOdBL8l_r_PMwc/view?usp=sharing

Necessary Libraries:

Tkinter Nltk Numpy Pandas Pickle

Components:

Data collection - Data has been taken from Kaggle (Amazon Fine Food Reviews Dataset) Preprocessing - Preprocessing and ranking has been done in ranking.py Ranking - The result from calculating TF-IDF scores has been pickled in tf_idf_scores.pkl Querying - Querying is done in querying.py Spell checking (query - For spell checking, I build a basic spell checker which uses the Levenshtein edit distance concept and basic probabilty Tkinter UI - Tkinter UI for querying

Setup:

1. Please make sure that you have all the necessary libraries installed on your local machine
2. Navigate to the folder in which querying.py is present
3. To run the code enter "py querying.py" if using Python3 or "python querying.py" if using Python2
4. Then after a couple of seconds a Tkinter window will popup
5. Fill in the prompts in the respective text boxes Eg: "dog food" in the query and "5" for the number of results (as desired)
6. Then click on the "Show" button to get the results
7. Click on the "Quit" button when done

For more details on the implementation: Refer to the document here