IBM Watson is the part of IBM’s known supercomputer Deep Blue. We talked about usage of Artificial Intelligence, Machine Learning in many complicated setups. Here is a WordPress Plugin to analyze post emotion with ai powered by IBM Watson. This is a good example of usage of Artificial Intelligence. Many free WordPress plugins never become known but sometimes offer quite astonishing or useful features.
WordPress Plugin To Analyze Post Emotion With AI (IBM Watson)
On official WordPress repository, you can find the plugin :
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https://wordpress.org/plugins/watsonfinds/ |
Of course you can go to WordPress administration’s Add Plugin page and search with watsonfinds, install and activate the plugin. After installation, go to any post to edit and on WordPress editor in visual mode (no icon on text mode), you’ll get a blue icon with WF text. A window will pop up with icons and percentages of emotions.
How funny, I ran the test against this post and it became towards sad :
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The plugin has an official website as well :
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http://www.watsonfinds.com/the-science-behind/ |
The plugin has settings page, which has an additional text area to type or copy-paste content to be analyzed. This post is too complicated to be analyzed by any computer but of course there is really no joy in it.
Can I Use My Own IBM Watson Account To Use This WordPress Plugin
The plugin calls a PHP page :
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define('WATSONFINDSURL', 'https://www.watsonfinds.com/api/wordpress/watsonfinds.php'); |
Of course you can read the relevant documents from IBM :
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https://www.ibm.com/watson/developercloud/tone-analyzer.html https://www.ibm.com/support/knowledgecenter/en/SS5RWK_3.5.0/com.ibm.discovery.es.ta.doc/iiysputai.htm |
You own account will not cost huge. Also you can look at these Github repositories :
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https://github.com/CognitiveBuild/WatsonPHPSDK https://github.com/JWHennessey/phpInsight |
I found IBM’s documentation more useful :
- Hybrid segmentation : Combines the high precision benefits of dictionary-based segmentation with the high recall benefits of nondictionary-based, n-gram segmentation.
- Stop word removal : All stop words, for example, common words, such as a and the, are removed from multiple word queries to increase search performance.
- Character normalization : Character normalization is a process that can improve recall. Improving recall by character normalization means that more documents are retrieved even if the documents do not exactly match the query.
The above simply talks about matching content analysis by other ordinary WordPress plugins to get an idea of whether a technical writing is really sounding not good.
About Abhishek Ghosh
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