# Yes/no annotations with textcat.manual

**URL:** <https://support.prodi.gy/t/yes-no-annotations-with-textcat-manual/3761>\
**Category:** Uncategorized\
**Tags:** usage, textcat, solved\
**Created:** [December 18, 2020, 1:44pm UTC](https://support.prodi.gy/t/yes-no-annotations-with-textcat-manual/3761 "2020-12-18T13:44:02Z")\
**Posts on this page:** 4\
**Page:** 1

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**Author:** ![Joao](https://avatars.discourse-cdn.com/v4/letter/j/7feea3/32.png) [@Joao](https://support.prodi.gy/u/Joao)\
**Post date:** [December 18, 2020, 1:44pm UTC](https://support.prodi.gy/t/yes-no-annotations-with-textcat-manual/3761/1 "2020-12-18T13:44:02Z")

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Hello all,  
I am new to Prodigy, and I am trying to work out how to classify a text as yes/no according to two categories, e.g. is the text funny? is the text about computers? Is this possible? Thank you for your help. I am using textcat.manual.

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**Author:** ![jdixosnd](https://sea2.discourse-cdn.com/flex020/user_avatar/support.prodi.gy/jdixosnd/32/1800_2.png) [@jdixosnd](https://support.prodi.gy/u/jdixosnd)\
**Post date:** [December 19, 2020, 3:50pm UTC](https://support.prodi.gy/t/yes-no-annotations-with-textcat-manual/3761/2 "2020-12-19T15:50:25Z")

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Hi Joao,

You have to use textcat with one label for this case.

for example,  
I am using the following text as sample input,

 ![image](https://us1.discourse-cdn.com/flex020/uploads/prodigy/original/2X/a/a549838ec24ff007de5a1229f18bee9c5d6b0507.png)

textcat manual with one label-

 ![image](https://us1.discourse-cdn.com/flex020/uploads/prodigy/original/2X/d/dc5bdb7410db9e60bcc76e47858a3c7b59791f95.png)  
Here "FUNNY\_OR\_NOT" will be you annotated dataset and "IS\_FUNNY" is the only label.

It will initiate the tool and you can annotate the text as accept/reject or ignore.

 ![image](https://us1.discourse-cdn.com/flex020/uploads/prodigy/original/2X/8/87ac81afd88915f7fff2ca5216493d6f4b6123fc.png)

and, your result will look like this,

 ![image](https://us1.discourse-cdn.com/flex020/uploads/prodigy/original/2X/3/3e43c273c74b8e79f6b0dcb1c56e8e6013d65831.png)

cheers.

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<div class="post-metadata">

**Author:** ![Joao](https://avatars.discourse-cdn.com/v4/letter/j/7feea3/32.png) [@Joao](https://support.prodi.gy/u/Joao)\
**Post date:** [December 21, 2020, 2:58pm UTC](https://support.prodi.gy/t/yes-no-annotations-with-textcat-manual/3761/3 "2020-12-21T14:58:33Z")

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Thank you. What if, for your example, you also wish to classify, in addition, say 'Is this comment about cats?'. Thank you for your help.

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<div class="post-metadata">

**Author:** ![jdixosnd](https://sea2.discourse-cdn.com/flex020/user_avatar/support.prodi.gy/jdixosnd/32/1800_2.png) [@jdixosnd](https://support.prodi.gy/u/jdixosnd)\
**Post date:** [December 21, 2020, 3:03pm UTC](https://support.prodi.gy/t/yes-no-annotations-with-textcat-manual/3761/4 "2020-12-21T15:03:29Z")

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checkout following link for multi-label categorization,

> [@Custom multilabel categorization recipe](https://support.prodi.gy/t/custom-multilabel-categorization-recipe/673):
>
> Hi, I want to write my own recipe for multi-label text classification I have 4 categories and a single text can belong to multiple of them. I was wondering if it’s possible to take advantage of active learning also in this case and if so, how should I store the annotations (multiple labels) for a given text as a single entry in the database? As Prodigy by default works with binary annotations for each label. What’s important for me is that the text is displayed only once and all the correspon…