Skip to main content

A machine learning–based method for transforming text into instrumental variables (IV).

Project description

TexIV


A machine learning–based package for transforming text into instrumental variables (IV).

PyPI version License: MIT Issue


icon

🌰 Example

Visit Stata Example File and Python Example File.

There is a step-by-step example.

✨ Feature

  • Support multiple Chinese word segmentation and embedding methods
  • Customizable stopwords
  • Support keyword relevance filtering and two-stage filtering
  • Output includes frequency, total count, and ratio statistics

📦 Requirements

  • Python 3.11+
  • Recommended to use virtual environment (e.g., venv or conda)

🚀 Quickly Start

Install

pip install texiv

Usage

from typing import List

from texiv import TexIV

texiv = TexIV()
content: str = "This is a test text..."
keywords: List[str] = ["keyword1", "keyword2", "keyword3"]
texiv.texiv_it(content, keywords)

Output example:

{'freq': 7, 'count': 34, 'rate': 0.20588235294117646}

🖥️ Command Line Tool

The project also provides a command-line interface that can be used directly after installation:

texiv --help

🛠️ Configuration

All models and parameters can be adjusted through configuration files in ~/.texiv/config.toml.

📄 License

This project is licensed under the MIT License. See LICENSE for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

texiv-0.1.4.tar.gz (1.6 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

texiv-0.1.4-py3-none-any.whl (26.8 kB view details)

Uploaded Python 3

File details

Details for the file texiv-0.1.4.tar.gz.

File metadata

  • Download URL: texiv-0.1.4.tar.gz
  • Upload date:
  • Size: 1.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.7.19

File hashes

Hashes for texiv-0.1.4.tar.gz
Algorithm Hash digest
SHA256 77450c475e0caf0b6437cbcc2e05f489fd95e0ad5f7ec22639d683d5aed6fcbc
MD5 68fcaf3d46bd5c4313e3b82d9333d175
BLAKE2b-256 588448f14512a385b09c0eb61551a9e25be251c6539fa5f56e369bbe7bcb003b

See more details on using hashes here.

File details

Details for the file texiv-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: texiv-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 26.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.7.19

File hashes

Hashes for texiv-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 522c9311edfe63690130967f0cbb8a4471c8e6125fd1f9c4ea22a71ec82417f9
MD5 2301411529897d0ba58f6945d2ffaf6c
BLAKE2b-256 84cb8d5b6130ed72dce443e9693152d8e21c8f85db943243494808ce55e9f9b9

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page