gedyzed/afaanOromoIRS

You can find a mini afaan oromo retrieval system # Afaan Oromo Information Retrieval System (IRS) Project This project implements a comprehensive Information Retrieval System using text processing techniques to extract, index, and search through a collection of documents. It includes modules for text extraction, word frequency analysis, inverted index creation, and query-based document retrieval. A graphical user interface (GUI) built with Tkinter provides a user-friendly interface for performing searches and viewing results. ## Project Structure ### Files and Directories - **textProcessor.py**: Contains `Tokenizer`, `StopWord`, and `Stemmer` classes for text preprocessing. - **textExtractor.py**: Contains the `Binary` class for reading and writing binary data. - **WordFrequency.py**: Contains the `WordFrequency` class for analyzing word frequencies. - **Indexing.py**: Contains the `InvertedIndex` class for creating and managing an inverted index. - **similarityCalculator.py**: Contains the `SimilarityCalculator` class for computing TF-IDF and cosine similarity between queries and documents. - **IRSystem.py**: Contains the `MiniRetrievalSystem` class for integrating the various components and performing searches. - **IRGui.py**: Contains the `IRGui` class for the Tkinter-based GUI. - **documents**: Directory containing the PDF documents to be indexed and searched. ### Classes and Methods #### Tokenizer Class - **tokenize(word)**: Tokenizes and normalizes the input word. #### StopWord Class - **__init__(wordFrequency)**: Initializes with a word frequency dictionary. - **remove()**: Removes stop words based on frequency criteria. #### Stemmer Class - **apply_cluster_rules(word)**: Applies stemming rules to a word. - **measure(word)**: Measures vowel-consonant sequences. - **stem(word)**: Stems the input word. #### TextExtractor Class - **extractText(directory_path)**: Extracts text from documents in a directory. - **Binary Class** - **save(data, filename)**: Saves data to a binary file. - **read(filename)**: …