Name | Version | Type | |
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Topics Extraction | Topics Extraction extracts relevant information such as Named Entities (people, locations, organizations, etc), concepts as well as facts (dates, time expressions, quantities, etc) from bodies of text. | 2.0 | PUBLIC |
Text Classification | Text Classification classifies texts based on a hierarchical categorization or taxonomy. | 2.0 | PUBLIC |
Sentiment Analysis | Sentiment Analysis analyzes texts and detects their polarity, subjectivity, irony and emotional agreement. | 2.1 | PUBLIC |
Language Identification | Language Identification automatically detects the language of texts obtained from any source. | 4.0 | PUBLIC |
Lemmatization, PoS and Parsing | Lemmatization, PoS and Parsing carries out different linguistic analysis in several languages: morphosyntactic analysis, PoS (Part of Speech) tagging, and lemmatization. | 2.0 | PUBLIC |
Corporate Reputation | This API provides a semantic tagging of multilingual content for the purpose of Corporate Reputation analysis. | 2.0 | PUBLIC |
Text Clustering | This tool automatically groups documents by similarity and detects the most significant subjects. | 1.1 | PUBLIC |
Summarization | Summarize a given text/document according to the specified length. | 1.0 | PUBLIC |
Document Structure Analysis | This service extracts different sections of a given document with markup content, including titles, sections, abstract and parts of an email. | 1.0 | PUBLIC |
Deep Categorization | Deep Categorization assigns one or more categories to a text, using a very detailed rule-based language that allows you to identify very specific scenarios and patterns using a combination of morphological, semantic and text rules. | 1.0 | PREMIUM |
Name | Version | |
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MeaningCloud Add-in for Excel 365 | Excel 365 addin that allows you to easily use text analytics from your spreadsheet | 1.0 |
MeaningCloud Plugin for GATE | Plugin to use our text analytics inside GATE (General Architecture for Text Engineering), a widely used scientific language engineering platform | 3.0 |
MeaningCloud for RapidMiner | Extension to use our text analytics capabilities inside RapidMiner | 2.1 |
MeaningCloud Add-on for Google Sheets | MeaningCloud Add-on for Google Sheets | 1.2 |
MeaningCloud App for Zapier | MeaningCloud for Zapier is MeaningCloud's app in Zapier, a website that gives you the power to integrate hundreds of apps together to automate your work. | 1.0 |
MeaningCloud for Dataiku | Plugin to use MeaningCloud's text analytics capabilities in Dataiku DSS (Data Science Studio). | 1.0 |
MeaningCloud Add-in for Excel | Excel addin that allows you to easily use text analytics from your spreadsheet | 3.5 |
MeaningCloud VoE Add-in for Excel | Excel add-in that allows you to easily use our Voice of the Employee solution from your spreadsheet | 1.0 |
MeaningCloud VoC Add-in for Excel | Excel add-in that allows you to easily use our Voice of the Customer solution from your spreadsheet | 1.0 |
Name | Useful for | |
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Classification Models | Contains detailed information about how to create and manage your own classification model. |
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Deep Categorization Models | Contains detailed information about how to create and manage your own deep categorization model. |
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Dictionaries | Contains detailed information about how to create and manage your own dictionaries. |
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Sentiment Models | Contains detailed information about how to create and manage your own sentiment models. |
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Name | Useful for | |
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Error codes | Describes the complete error catalog for all the public APIs, describing each error and what to do to solve it. |
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Morphosyntactic tagsets | Describes the complete tagset for Part-Of-Speech (POS) tagging and syntactic analysis in the different languages supported. |
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Ontology | Contains a detailed glossary of all the senses that can appear in our ontology, used by MeaningCloud's linguistic modules. |
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Predefined classification models | Contains detailed information about the predefined classification models supported, including the code and the label of all the categories that form each one of them. |
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Predefined deep categorization models | Contains detailed information about the deep categorization models supported, including the code and the label of all the categories that form each one of them. |
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Predefined dictionaries | Contains detailed information about the predefined dictionaries MeaningCloud provides. |
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Supported formats | Contains the different formats supported in those APIs where the information to analyze can be input through files. |
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Supported languages | Contains the different languages supported for the different APIs provided. |
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Name | |
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Vertical packs | MeaningCloud's vertical packs are the fastest way to adapt text analytics analysis to your specific application or industry. Each vertical pack focuses on a specific application, providing resources already customized for it. |