# Looking for a similar model

**URL:** <https://discuss.ai.google.dev/t/looking-for-a-similar-model/28523>\
**Category:** General Discussion\
**Tags:** help\_request\
**Created:** [August 4, 2021, 8:07am UTC](https://discuss.ai.google.dev/t/looking-for-a-similar-model/28523 "2021-08-04T08:07:16Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![Fai](https://d1dlmcr85iqnpo.cloudfront.net/user_avatar/discuss.ai.google.dev/fai/32/8140_2.png) [@Fai](https://discuss.ai.google.dev/u/Fai)\
**Post date:** [August 4, 2021, 8:07am UTC](https://discuss.ai.google.dev/t/looking-for-a-similar-model/28523/1 "2021-08-04T08:07:16Z")

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Hi All, very new to ML and tensorflow so just finding my feet.

Google has it’s own Natural language api and specifically the `classifyText` method. This is where a text read from a file or given as a variable is assessed and assigned a Content category or taxonomies.

here is an example of returned output:

```
Query: Google Home enables users to speak voice commands to interact with services through the Home's intelligent personal assistant called Google Assistant. A large number of services, both in-house and third-party, are integrated, allowing users to listen to music, look at videos or photos, or receive news updates entirely by voice. 

Category: /Internet & Telecom, confidence: 0.509999990463
Category: /Computers & Electronics/Software, confidence: 0.550000011921

```

Is there an open source version of this? I have tried looking through the libraries and cannot seem to find anything.

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<div class="post-metadata">

**Author:** ![lgusm](https://d1dlmcr85iqnpo.cloudfront.net/user_avatar/discuss.ai.google.dev/lgusm/32/6230_2.png) [@lgusm](https://discuss.ai.google.dev/u/lgusm)\
**Post date:** [August 4, 2021, 1:17pm UTC](https://discuss.ai.google.dev/t/looking-for-a-similar-model/28523/3 "2021-08-04T13:17:14Z")

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@markdaoust do you know any tutorial for text categorization?

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<div class="post-metadata">

**Author:** ![Mark\_Daoust](https://d1dlmcr85iqnpo.cloudfront.net/user_avatar/discuss.ai.google.dev/mark_daoust/32/411_2.png) [@Mark\_Daoust](https://discuss.ai.google.dev/u/Mark_Daoust)\
**Post date:** [August 4, 2021, 2:02pm UTC](https://discuss.ai.google.dev/t/looking-for-a-similar-model/28523/4 "2021-08-04T14:02:05Z")

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We have some basic examples of text classification. But nothing industrial-strength like this.

It looks like it might be a binary classifier per-topic.
