# Zubrag HTML Tags Stripper

> This tool simply takes HTML and returns it without the HTML tags

**Wikidata**: [Q126084794](https://www.wikidata.org/wiki/Q126084794)  
**Source**: https://4ort.xyz/entity/zubrag-html-tags-stripper

## Summary
Zubrag HTML Tags Stripper is a software tool designed to remove HTML tags from a given input to return plain text. It is primarily utilized for data cleansing and enriching text-based records within research and data management contexts.

## Key Facts
- **Classification:** Classified as software, defined as a non-tangible executable component of a computer.
- **Primary Function:** Takes HTML input and returns the content without any HTML tags.
- **Core Use Cases:** Used for data cleansing and the enrichment of data sets.
- **Data Cleansing Role:** Facilitates the process of detecting and removing unwanted records from a record set.
- **Collection Memberships:** Included in the Social Sciences and Humanities Open Marketplace and the Text Analysis Portal for Research (TAPoR).
- **Documentation Language:** Described in English-language records (as of November 2022).
- **Resource Identifiers:** Listed as tool 549 in the TAPoR collection.

## FAQs
### Q: What is the main purpose of Zubrag HTML Tags Stripper?
A: The tool is designed to process HTML content and strip away all tags, leaving only the raw text. This allows users to convert web-formatted data into a clean, plain-text format.

### Q: How is this tool used in data science and research?
A: It is used for data cleansing and enriching. It helps researchers remove unwanted HTML code from record sets, which is a necessary step in correcting or removing inaccurate or unwanted data during analysis.

### Q: Where is Zubrag HTML Tags Stripper cataloged?
A: The tool is featured in major research repositories, including the Social Sciences and Humanities Open Marketplace and the Text Analysis Portal for Research (TAPoR).

## Why It Matters
Zubrag HTML Tags Stripper plays a specific role in the fields of data cleansing and text analysis. In digital research, particularly within the social sciences and humanities, data is frequently harvested from web sources that contain extensive HTML formatting. This formatting can act as "unwanted records" that interfere with text processing and analysis. 

By providing a specialized utility to strip these tags, the tool enables the enrichment of data sets, transforming raw web code into clean text that is ready for research. Its inclusion in professional collections like TAPoR and the SSH Open Marketplace underscores its relevance as a reliable component for scholars and data managers who need to ensure the accuracy and cleanliness of their record sets. It solves the fundamental problem of extracting meaningful content from structured web markup.

## Notable For
- **Specialized Utility:** Specifically designed for the singular task of returning text without HTML tags.
- **Research Integration:** Recognized as a valid tool for academic use within the Text Analysis Portal for Research (TAPoR).
- **Data Enrichment:** Formally categorized as a tool for "enriching" data by removing structural noise.
- **Standardized Classification:** Recognized as a tool for data cleansing, the formal process of correcting or removing unwanted records from a set.

## Body

### Functional Overview
Zubrag HTML Tags Stripper is an instance of software that functions as a non-tangible executable component. Its operation is straightforward: it accepts HTML as an input and outputs the same content with all HTML tags removed. This process is essential for converting web-based documents into a format suitable for plain-text applications.

### Applications in Data Cleansing
The tool is primarily used for data cleansing, which is the process of detecting and correcting or removing corrupt, inaccurate, or unwanted records from a record set. In the context of web data, HTML tags are often considered unwanted records that must be removed to isolate the actual information. By stripping these tags, the tool assists in:
*   Detecting unwanted formatting elements.
*   Removing structural code that may interfere with data accuracy.
*   Preparing record sets for further analysis.

### Institutional and Research Context
The software is documented within several high-profile digital research environments. It is listed in the Social Sciences and Humanities Open Marketplace as a service for data enrichment. Additionally, it is cataloged in the Text Analysis Portal for Research (TAPoR) under the tool ID 549. Documentation for the tool in these repositories is maintained in English, with descriptive records verified as of November 2022. These listings categorize the tool as a resource for researchers needing to refine and enrich their digital text collections.

## References

1. [Source](https://marketplace.sshopencloud.eu/tool-or-service/I1kFsQ)
2. [Source](https://tapor.ca/tools/549)