text_action_filter

Name: text_action_filter
Availability: InStock
Author: cas-bigdatalab

Filter text to retain sentences containing specified action words.

541|171|Updated May 3, 2018

Search Tags:#text processing #information extraction #data preprocessing #text filtering #action word detection

Ready to run

npx skills add https://github.com/cas-bigdatalab/piflow --skill text-action-filter

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: text_action_filter
Source: https://github.com/cas-bigdatalab/piflow/tree/main/workspace/skills/text_action_filter
Command: npx skills add https://github.com/cas-bigdatalab/piflow --skill text-action-filter

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires spaCy, spacy-pkuseg, and includes scripts (resource) components.

What problem does it solve?

This Skill filters out unnecessary text, retaining only the parts of a text that contain actions or operations.

Core Features & Use Cases

Action Word Filtering: Identifies and filters out text containing actions or verbs, keeping only the meaningful parts.
Language Support: Supports both English and Chinese.
Use Case: Ideal for data preprocessing where the goal is to analyze only the parts of text that contain actions.

Quick Start

Use the text_action_filter skill to process the input file 'sample_text.jsonl' and output the filtered results to 'filtered_output.jsonl'.

Frequently Asked Questions about text_action_filter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I filter text to keep only sentences with action words for data preprocessing?▼

To filter text for data preprocessing, you can remove sentences without action words, retaining only the parts containing actions or operations. This isolates meaningful text for subsequent information extraction tasks.

What is action word detection and how does it work for text filtering?▼

Action word detection identifies verbs within sentences to filter text. It uses natural language processing to isolate operations, keeping only meaningful parts that contain actions and discarding non-action text segments.

Does action word detection work with both English and Chinese text processing?▼

Yes, action word detection supports both English and Chinese text processing. It requires spaCy and spacy-pkuseg libraries to perform language-specific action word identification and filter text accordingly.

How do I extract action sentences from a jsonl file for information extraction?▼

To extract action sentences from a jsonl file, process the input file through the text filtering script. It identifies sentences with action words and outputs the filtered results to a new jsonl file.

Do I need spaCy and spacy-pkuseg installed for text filtering?▼

Yes, you need both spaCy and spacy-pkuseg installed for text filtering. These dependencies provide the language-specific natural language processing models required for accurate action word detection.

What is the best way to remove non-action text segments from a dataset?▼

The best way to remove non-action text segments from a dataset is to apply an action word filter. It automatically identifies and discards text without verbs, keeping only the sentences containing actions.