89%
The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read More
Remove
|
Remove
|
|
---|---|---|
Visit Website
|
Visit Website
|
ADD PRODUCT
|
89%
The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read More
Remove
|
Remove
|
---|---|---|
Visit Website
|
Visit Website
|
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 |
BytesView is an advanced text and sentiment analysis tool that was designed to convert unstructured data into useful insights using powerful text analysis. It helps the user in improving their customer support, marketing, human resources, and much more. BytesView provides topic labeling to enable data encapsulation and categorization from multiple sources, intent detection for detection and classification of unstructured data, and gender detection for gender identification of consumer base to improve campaign efficiency. It additionally provides semantic similarities for extraction of similar-structured content and documents, sentiment analysis for interpretation, classification, and analysis of complex text-based on opinions and sentiments apart from emotional analysis for gathering and analyzing large compositions of data and detecting its sentiment type. Users get automated ticket tagging of queries related to customer support. You can also use the software’s social media analytics to analyze data from social media, assemble and examine acronyms, hashtags, slang, abbreviations, and poor grammar to extract useful insights. The software is optimized for Twitter data analytics and you can use their API to build custom modules. ..show more |
|
||||||||||||||||||||||
|
||||||||||||||||||||||
|
||||||||||||||||||||||
|
||||||||||||||||||||||
|
|
|||||||||||||||||||||||||
|
|
|
|
|