87%
The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read More
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82%
The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read More
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ADD PRODUCT
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87%
The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read More
Remove
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82%
The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read More
Remove
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Visit Website
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Visit Website
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Summary |
MonkeyLearn is a text analysis software that automates business workflows to save hours of manual data processing with the help of machine learning capabilities. It provides an easy to understand and user-friendly graphical interface where users can create custom text classification and extraction analysis. This is possible by utilizing machine learning models like topic detection, sentiment analysis, keyword extraction, and so on. Actionable data from raw texts like webpages, chats, emails, tweets, and documents can be rapidly extracted and classified. The key value proposition is that the platform can be easily integrated with hundreds of applications without coding and assistance of a data scientist or developer. The integration can be through its SDKs and open APIs, Zapier, Google Sheets, Rapidminer or Zendesk. Also, product roadmap can be infused with insights from product reviews, customer conversations, NPS, and surveys. Users can also automate routing and ticket tagging to boost the productivity of support teams. ..show more |
Digital Taxonomy is aimed at developing high-end productivity and insight generating tools. Artificial Intelligence is one of the most important components that constitute Digital Taxonomy, along with machine learning and agile development. A dedicated team of developers combines practical R&D proficiency with proven expertise in the theoretical and applicable fundamentals of machine learning. The products developed are thus, entirely aimed at meeting the specific requirements of market research and customer opinion specialists. Further, Codeit and Loadit are the two main products of Digital Taxonomy. Codeit combines AI with collective team intelligence, facilitating quick analysis of texts at the desired level of granularity. It offers unparalleled speed with intact data quality, besides enabling real-time collaborations. On the other hand, LoadIt is capable of eliminating traditional data handling related tasks besides automating them on the go. It is dependent on three fundamental principles which are simple, transparent and extensible. ..show more |
Audience Analysis Allows to monitor customer feedbacks in real-time |
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Built-in Library Gives instant access to past customer conversations that is stored in library |
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Competitive Analysis Monitors activities of competitive products and services |
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Document Classification Classifies structured and unstructured document based on analysis |
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Geospatial Analysis Integrates with geospatial tool to gather information based on geographical locations |
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Import-Export Option Allows import/export of data as PDF,PNG,HTML files |
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Multi-language Support Available in multiple languages to support global customers |
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Predictive Analysis Predicts customer behaviour and emerging trends based on real-time conversations |
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Segmentation Groups and segregates audiences based on defined criteria |
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Sentiment Analysis Allows discovering the stand of customers/audience towards a brand/product/service through analysis of opinion made in comments. |
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Top alternatives to MonkeyLearn
Inmoment
Keatext
Text2data
DiscoverText
WordStat
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Top alternatives to Digital Taxonomy
Inmoment
Keatext
MonkeyLearn
Text2data
DiscoverText
|