ontologik.ai
Summarization, Extraction of Key Topics, Semantic Search, Sentiment Analysis, Automatic tagging (user-defined), Categorization, Event and Topic-Based Filtering, Entity and Type Recognition
ontologik.ai Alternatives
The best ontologik.ai alternatives based on verified products, community votes, reviews and other factors.
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/amazon-comprehend-alternativesDiscover insights and relationships in text
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/tensorflow-alternativesTensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
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/spacy-alternativesspaCy is a library for advanced natural language processing in Python and Cython.
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/amazon-sagemaker-alternativesAmazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
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/infosys-nia-alternativesInfosys Nia is an integrated enterprise AI platform that helps organizations redefine their AI journey and solve complex business problems. Nia's capabilities include Data Management, NLP, Cognitive Search, Conversational AI & many more.
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/fuzzywuzzy-alternativesFuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
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/google-cloud-automl-alternativesTrain custom ML models with minimum effort and expertise
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/google-cloud-natural-language-api-alternativesNatural language API using Google machine learning
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/yousician-alternativesLearn to play music at home, at your own pace
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/iterate-alternativesGet the feedback you need to build better products
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/netflix-alternativesSee what's next. Watch anywhere. Cancel anytime.
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/azure-batch-ai-alternativesLearn about what happened to Azure Batch AI and the Azure Machine Learning service compute option.
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/ibm-watson-studio-alternativesLearn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.
