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This module simplifies Python package management, script execution, file handling, web scraping, and multimedia downloads. The module supports (LLM-based) NLP tasks such as OCR, tokenization, lemmatization, POS tagging, NER, ATE, dependency parsing, MDD, WSD, LIWC, MIP analysis and Chinese-English sentence alignment. It also generates word lists, and plots data, aiding literary students. Ideal for scraping data, cleaning text, and analyzing language, it offers user-friendly tools to streamline workflows.

Project description

Purpose: This module is designed to make complex tasks accessible and convenient, even for beginners. By providing a unified set of tools, it simplifies the workflow for data collection, processing, and analysis. Whether you're scraping data from the web, cleaning text, or performing LLM-based NLP tasks, this module ensures you can focus on your research without getting bogged down by technical challenges.

Key Features:

  1. Web Scraping: Easily scrape data from websites and download multimedia content.
  2. Package Management: Install, uninstall, and manage Python packages with simple commands.
  3. Data Retrieval: Extract data from various file formats like text, JSON, TSV, Excel, XML, and HTML (both online and offline).
  4. Data Storage: Write and append data to text files, Excel, JSON, and JSON lines.
  5. File and Folder Processing: Manage file paths, create directories, move or copy files, and search for files with specific keywords.
  6. Data Cleaning: Clean text, handle punctuation, remove stopwords, convert Markdown strings into Python objects, and prepare data for analysis, utilizing valuable corpora and dictionaries such as CET-4/6 vocabulary, BE21 and BNC-COCA word lists.
  7. NLP: Perform OCR, word tokenization, lemmatization, POS tagging, NER, dependency parsing, ATE, MDD, WSD, LIWC, MIP analysis, and Chinese-English sentence alignment using prepared LLM prompts.
  8. Math Operations: Format numbers, convert decimals to percentages, and validate data.
  9. Visualization: Process images (e.g., make white pixels transparent, resize images) and manage fonts for rendering text.

Author: Pan Guisheng, a PhD student at the Graduate Institute of Interpretation and Translation of Shanghai International Studies University Email: 895284504@qq.com

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