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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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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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Summary |
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 |
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 |
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