MonkeyLearn (cedpjjdkkbclbllppflfmoacfcjpmdng): Text Analysis with Machine Learning: turn emails, support tickets, chats, social media, surveys and documents into actionable data.... Read More > or Download Now >
MonkeyLearn for Google Sheets
Tech Specs
- • Type: Google Sheets Add-on
- • Latest Version: 19
- • Price: Freeware
- • Offline: No
- • Developer: monkeylearn.com
User Reviews
- • Rating Average
- 4 out of 5
- • Rating Users
- 23
Download Count
- • Total Downloads
- 66
- • Current Version Downloads
- 21
- • Updated: January 2, 2019
MonkeyLearn is a free Business Tools Add-on for Google Sheets. You could download the latest version crx file or old version crx files and install it.
More About MonkeyLearn
Introducing Google Sheets add-on for MonkeyLearn: text Analysis with Machine Learning and zero lines of code!
MonkeyLearn is an AI platform that allows companies to easily analyze text with Machine Learning. Customers like Clearbit, Segment, and Drift are using MonkeyLearn to turn emails, support tickets, customer feedback, and documents into actionable data.
You can easily classify texts by topic, sentiment, and intent or extract specific data such as keywords, names, and companies.
MonkeyLearn makes teams more efficient by automating business processes, getting insights and saving hours of manual text data processing.
--- Text Classification ---
Text classification models are used to categorize text into organized groups. Text is analyzed by a model and then the appropriate tags are applied based on the content.
You can classify texts with custom categories or tags for sentiment analysis, topic detection, product classification, aspects detection and much more.
With MonkeyLearn, you can use our library of publicly available classifiers and you can also make your own custom classifier for your own specific use case.
--- Text Extraction ---
Extraction models are used to extract data from text, that is, the result you are looking for exists within the text.
The difference with extraction compared to classification is that in classification the result is an associated tag that is usually not present within the text, and therefore has to be predicted or deduced from the text contents.
MonkeyLearn has different extraction models to extract different types of data: entities, company names, keywords, addresses, emails, etc. You may work with the extraction models publicly available to resolve your particular problem. Or you can create your own custom extractor.
--- Tutorials ---
Quick tutorial for using this add-on: https://monkeylearn.com/blog/google-sheets-integration-machine-learning/
Sentiment Analysis Using Google Sheets https://monkeylearn.com/blog/sentiment-analysis-using-google-sheets/
Learn more about MonkeyLearn: https://www.monkeylearn.com
MonkeyLearn is an AI platform that allows companies to easily analyze text with Machine Learning. Customers like Clearbit, Segment, and Drift are using MonkeyLearn to turn emails, support tickets, customer feedback, and documents into actionable data.
You can easily classify texts by topic, sentiment, and intent or extract specific data such as keywords, names, and companies.
MonkeyLearn makes teams more efficient by automating business processes, getting insights and saving hours of manual text data processing.
--- Text Classification ---
Text classification models are used to categorize text into organized groups. Text is analyzed by a model and then the appropriate tags are applied based on the content.
You can classify texts with custom categories or tags for sentiment analysis, topic detection, product classification, aspects detection and much more.
With MonkeyLearn, you can use our library of publicly available classifiers and you can also make your own custom classifier for your own specific use case.
--- Text Extraction ---
Extraction models are used to extract data from text, that is, the result you are looking for exists within the text.
The difference with extraction compared to classification is that in classification the result is an associated tag that is usually not present within the text, and therefore has to be predicted or deduced from the text contents.
MonkeyLearn has different extraction models to extract different types of data: entities, company names, keywords, addresses, emails, etc. You may work with the extraction models publicly available to resolve your particular problem. Or you can create your own custom extractor.
--- Tutorials ---
Quick tutorial for using this add-on: https://monkeylearn.com/blog/google-sheets-integration-machine-learning/
Sentiment Analysis Using Google Sheets https://monkeylearn.com/blog/sentiment-analysis-using-google-sheets/
Learn more about MonkeyLearn: https://www.monkeylearn.com
