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MonkeyLearn
MonkeyLearn

8
23
+ 1
1
Semantria
Semantria

0
4
+ 1
0
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MonkeyLearn vs Semantria: What are the differences?

Developers describe MonkeyLearn as "Text Analysis with Machine Learning". Turn emails, tweets, surveys or any text into actionable data. Automate business workflows and saveExtract and classify information from text. Integrate with your App within minutes. Get started for free. On the other hand, Semantria is detailed as "Text analytics and sentiment analysis API". Semantria applies Text and Sentiment Analysis to tweets, facebook posts, surveys, reviews or enterprise content.

MonkeyLearn and Semantria can be primarily classified as "NLP / Sentiment Analysis" tools.

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What is MonkeyLearn?

Turn emails, tweets, surveys or any text into actionable data. Automate business workflows and saveExtract and classify information from text. Integrate with your App within minutes. Get started for free.

What is Semantria?

Semantria applies Text and Sentiment Analysis to tweets, facebook posts, surveys, reviews or enterprise content.
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          What are some alternatives to MonkeyLearn and Semantria?
          SpaCy
          It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.
          rasa NLU
          rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.
          Google Cloud Natural Language API
          You can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts. You can use it to understand sentiment about your product on social media or parse intent from customer conversations happening in a call center or a messaging app. You can analyze text uploaded in your request or integrate with your document storage on Google Cloud Storage.
          Amazon Comprehend
          Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to discover insights from text. Amazon Comprehend provides Keyphrase Extraction, Sentiment Analysis, Entity Recognition, Topic Modeling, and Language Detection APIs so you can easily integrate natural language processing into your applications.
          Gensim
          It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.
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