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Microsoft Linguistic Analysis API VS Stratifyd

Compare Microsoft Linguistic Analysis API VS Stratifyd and see what are their differences

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Microsoft Linguistic Analysis API logo Microsoft Linguistic Analysis API

Windows SDK for the Microsoft Linguistic Analysis API, part of Cognitive Services - microsoft/Cognitive-LinguisticAnalysis-Windows

Stratifyd logo Stratifyd

Stratifyd delivers the most comprehensive, unbiased insights from structured and unstructured data...
  • Microsoft Linguistic Analysis API Landing page
    Landing page //
    2023-10-05
  • Stratifyd Landing page
    Landing page //
    2023-07-31

Microsoft Linguistic Analysis API videos

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Stratifyd videos

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How Stratifyd Landed 30 Customers and Hit $300k in MRR

More videos:

  • Review - Stratifyd Powers Customer Analytics for Energy Companies
  • Review - Stratifyd 4.0

Category Popularity

0-100% (relative to Microsoft Linguistic Analysis API and Stratifyd)

Microsoft Linguistic Analysis API

Stratifyd

NLP And Text Analytics
25 25%
NLP And Text Analytics
75% 75
Spreadsheets
35 35%
Spreadsheets
65% 65
Natural Language Processing
49 49%
Natural Language Processing
51% 51
Data Analysis
100 100%
Data Analysis
0% 0

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What are some alternatives?

When comparing Microsoft Linguistic Analysis API and Stratifyd, you can also consider the following products

Google Cloud Natural Language API - Natural language API using Google machine learning

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

Amazon Comprehend - Discover insights and relationships in text

Tibco Data Science - Data science is a team sport. Data scientists, citizen data scientists, business users, and developers need flexible and extensible tools that promote collaboration, automation, and...

FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.

Chattermill - Extract actionable insights from customer feedback using deep learning

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