Gavagai Explorer

Provided by:
Gavagai

Gavagai Explorer is a customers reviews analysis tool. Explorer can analyze texts in any of 46 languages (even more can be added on request). The texts get automatically analyzed and the results are presented in interactive and share-able Dashboards. 

  • Access to review data from online sources: Now you can scrape and download review data from over 50 different online sources; data that you can analyze in Explorer. At no extra charge.
  • Customizable sentiments: Your domain may require customization of sentiment measurements. ‘Soft’ tissue paper is good; ‘soft’ teeth are bad. Read more about sentiment customization here.
  • Save and re-use models: A model of analysis can be saved for future use, for example, if you want to monitor trends in the answers to similar questions over time.
  • Discover key topics in the texts: Gavagai Explorer lets you discover key topics automatically – there is no need to predefine them. You can modify the topics that the system suggests and even add new ones. And you can even make topic definitions change automatically when new data is added to the project: read more about the auto-add terms feature.
  • A wider range of sentiments: Gavagai Explorer defines not only Positivity and Negativity in the texts, but even Love, Fear, Hate, Violence, Desire and Skepticism, for every language.
  • Get the most of metadata: Meta-data and NPS can affect the composition and strengths of topics. Gavagai Explorer allows you to apply various filters to discover and model these connections.
  • Cross-language analysis: Start analysis in one language, save the model, and it is automatically translated to projects in other languages. This makes working with multiple languages very easy and also allows you to control cross-project consistency.
  • Easy integration using APIs: Gavagai Explorer functionality is easy to integrate into any production pipeline using the provided RESTful APIs.
  • Custom Concepts: You can define your own custom concepts like profanity or buying propensity and measure them over time or across demographics.
  • Automatic multiword expressions: “San Francisco”, “Feliz navidad”, “God morgon”; some sequences of words just belong together.; they are called N-grams and Explorer knows about them automatically so you don’t have to keep track of them yourself. In any language.

Language Coverage
Bulgarian (Cyrillic), Czech (Latin), Croatian (Latin), Danish (Latin), Dutch; Flemish (Latin), English (Latin), Estonian (Latin), Finnish (Latin), French (Latin), German (Latin), Hungarian (Latin), Italian (Latin), Latvian (Latin), Lithuanian (Latin), Modern Greek (1453-) (Greek), Polish (Latin), Portuguese (Latin), Romanian; Moldavian; Moldovan (Latin), Slovak (Latin), Slovenian (Latin), Spanish; Castilian (Latin), Swedish (Latin), Norwegian (Latin), Icelandic (Latin), Azerbaijani , Albanian (Latin), Arabic (Arabic), Bengali; Bangla (Bengali; Bangla), Catalan; Valencian (Latin), Persian (Arabic), Hebrew (Hebrew), Hindi (Devanagari; Nagari), Indonesian (Latin), Japanese (Japanese (alias for Han + Hiragana + Katakana)), Javanese , Korean (Korean (alias for Hangul + Han)), Malay (macrolanguage) (Latin), Russian (Cyrillic), Swahili (macrolanguage) (Latin), Tagalog (Latin), Thai (Thai), Turkish (Latin), Ukrainian (Cyrillic), Urdu (Arabic), Vietnamese (Latin)
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Helpdesk: https://www.gavagai.io/contact/

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The Catalogue of Services is maintained by the Service Desk of the CEF Automated Translation Platform. The service desk is funded via a contract (SMART 2016/0103) of the EU’s Connecting Europe Facility (CEF) programme.