Semantria vs Stream
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Semantria applies Text and Sentiment Analysis to tweets, facebook posts, surveys, reviews or enterprise content. | Stream allows you to build scalable feeds, activity streams, and chat. Stream’s simple, yet powerful API’s and SDKs are used by some of the largest and most popular applications for feeds and chat. SDKs available for most popular languages. |
Supports C++, Java, .Net, PHP, Python, Ruby, Javascript;Excel add-in installs and runs directly in your Microsoft Excel;Concept Matrix and Deep Learning;Content Discovery;Named Entity Extraction;Theme Extraction;Text Summarization;Query Categorization;Facets and Attributes;Crawling and Automatic Text Extraction;Wikipedia-based categorization technology | Activity, Notification & Personalized Feeds;
Real-Time Chat;
Multi-Region Support;
High Availability;
SDKs & Components; |
Statistics | |
Stacks 1 | Stacks 290 |
Followers 11 | Followers 226 |
Votes 0 | Votes 54 |
Pros & Cons | |
No community feedback yet | Pros
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Integrations | |
What are some alternatives to Semantria, Stream?
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SpaCy
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Speechly
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MonkeyLearn
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Jina
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Sentence Transformers
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FastText
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CoreNLP
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Flair
Flair allows you to apply our state-of-the-art natural language processing (NLP) models to your text, such as named entity recognition (NER), part-of-speech tagging (PoS), sense disambiguation and classification.
Transformers
It provides general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet…) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in 100+ languages and deep interoperability between TensorFlow 2.0 and PyTorch.
