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Text Analytics API

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API – Any ideas or feedback pertaining to features or enhancements to Text Analytics API.

Documentation – Any ideas or suggestions for the API Reference or Documentation.

Language Support – Submit a request to have a particular language supported.

Samples & SDK Request – Let us know if you would like to see a Code sample or SDK provided.

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  1. Swedish

    I find that the Sentiment Analysis in Swedish is just generally very low quality and bad. Return 0.8 for very negative text.

    1 vote
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    0 comments  ·  Sentiment Analysis  ·  Flag idea as inappropriate…  ·  Admin →
  2. Please add German for Cognetive Services!

    We need German for Image-Klassifikation!

    1 vote
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    0 comments  ·  Language Support  ·  Flag idea as inappropriate…  ·  Admin →
  3. detect more sentiments

    detect more sentiments specific like : anger, happiness, sadness, fear, surprise, disgust

    1 vote
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    0 comments  ·  Sentiment Analysis  ·  Flag idea as inappropriate…  ·  Admin →
  4. Adding custom Named Entity Recognition to Text Analytics

    We need the ability to add custom entities to Text Analytics NER (Named Entity Recognition) than what is supported. For example: I want to add a skill or a quality measure to the text posted by a user.

    1 vote
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    0 comments  ·  Entity Recognition  ·  Flag idea as inappropriate…  ·  Admin →
  5. Language detection for random text returns "English" with a score of 1.0 instead of "unknown"

    According to the documentation at https://westus.dev.cognitive.microsoft.com/docs/services/TextAnalytics.V2.0/operations/56f30ceeeda5650db055a3c7
    submitting random text like ":) :( :D" should return a result of "(Unknown)" with a score of 0, instead it returns "English" with a score of 1.

    This is pretty bad.

    0 votes
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    Under Review  ·  1 comment  ·  Language Detection  ·  Flag idea as inappropriate…  ·  Admin →
  6. Make four APIs as one please

    In this experiment(https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics/), it can accept text and output a JSON with sentiment, keyPhrases, detected languages and identified entities. Which is good.

    But actually, there's no such single API at all. There are 4 individual APIs for sentiment, keyPhrases, detected languages and identified entities.

    Can we offer an uniform API to do what exactly the experiment do?

    1 vote
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    Declined  ·  1 comment  ·  API  ·  Flag idea as inappropriate…  ·  Admin →
  7. 1 vote
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    Under Review  ·  1 comment  ·  Language Support  ·  Flag idea as inappropriate…  ·  Admin →
  8. Multi Language Text Analysis

    Work with local people to provide support for local language, or exclusive partner to develop multi language text analytics API. I am looking for a hybrid approach where there is no need to translate but can detect language on real-time by having prioritisation of language used, even if the language used are mixed (max mixture of 2 languages in a sentence/dialogue)

    1 vote
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    Under Review  ·  1 comment  ·  API  ·  Flag idea as inappropriate…  ·  Admin →
  9. Re-train the key phrases

    It would be helpful if we allow user to white list the words by saying "good" or "bad" ( feedback) after key phrase extraction and feed responses back to the system to learn(ML).

    3 votes
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    Under Review  ·  1 comment  ·  Key Phrase Extraction  ·  Flag idea as inappropriate…  ·  Admin →
  10. Can we expect the "Custom KeyPhrase extraction" API?

    Can we expect the "Custom KeyPhrase extraction" API from Azure like "Custom Vision" API in some time in near future?

    3 votes
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    Under Review  ·  1 comment  ·  Key Phrase Extraction  ·  Flag idea as inappropriate…  ·  Admin →
  11. Support stock market tickers

    Support basic level of stock market tickers. If I were to analyze, "$SPY will be up five points by end of week" the API believes it is film related. Relate "up five points" as a positive sentiment in relation to "$SPY" or any other ticker.

    Thanks,

    1 vote
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    Under Review  ·  1 comment  ·  Entity Recognition  ·  Flag idea as inappropriate…  ·  Admin →
  12. Slovenian language support

    We have a lot of cases in Slovenia for Text Analytics.
    in the following order:
    Sentiment (1st), Key phrases(2nd), Entity Recognition(3rd).

    4 votes
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    Under Review  ·  1 comment  ·  Language Support  ·  Flag idea as inappropriate…  ·  Admin →
  13. Identify location and travel types and subtypes for Named Entity Recognition

    Locality "here" Map coordinates if have access to location
    Locality "nearby" within 0.5 miles
    District "London" - Geofence for London
    Affiliated address"Mum's house"
    PlaceOfWork" - your workplace
    Address "Barclay's Head Office"
    Bus stop
    Motorway Junction "M25 J4"
    Road Vector "A256"
    Road Junction "corner of 6th and 12th street"
    Bridge "London Bridge"
    Station "London Victoria" (Coach/Bus)

    2 votes
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    Under Review  ·  0 comments  ·  Entity Recognition  ·  Flag idea as inappropriate…  ·  Admin →
  14. 1 vote
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    Under Review  ·  0 comments  ·  Documentation  ·  Flag idea as inappropriate…  ·  Admin →
  15. Hints for key phrases to improve extraction on small texts

    As mentioned in the guides, Key phrase extraction works best when you give it bigger chunks of text to work on. This means that the same text results in different sets of key phrases when it is part of a larger dataset and when it is submitted as a single record.

    It would be helpful, if we have the option of also including a set of key phrases (or as mentioned in other idea submissions - custom keywords or vocabulary) so that the results are better and consistent even when the API is dealing with small chunks of text.

    2 votes
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    Under Review  ·  0 comments  ·  Key Phrase Extraction  ·  Flag idea as inappropriate…  ·  Admin →
  16. Make "language" parameter optional for Sentiment Analysis

    Make "language" parameter optional or add another option as "auto" and add detected language to the response. So I won't need to make two seperate API calls one for detecting the language than for sentiment analysis.

    1 vote
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    Under Review  ·  1 comment  ·  Sentiment Analysis  ·  Flag idea as inappropriate…  ·  Admin →
  17. Linking the Wikipedia ID to the entities category

    The response includes both entities (e.g. Person, Quantity, email and etc.) and Wikipedia ID, but it is only either of them. For example, 'Donald Trump' as input will result in Wikipedia ID 'https://en.wikipedia.org/wiki/Donald_Trump'; as output, WITHOUT the entity 'person' which is supported entitiy in the API. Thus, if there any detected Wikipedia ID, could you please add entities type on the response as well? Thank you.

    2 votes
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    Under Review  ·  1 comment  ·  Entity Recognition  ·  Flag idea as inappropriate…  ·  Admin →
  18. Truncated input to first 100 tokens during analysis

    I got an error message from Text Analytics Sentiment
    "Truncated input to first 100 tokens during analysis".

    How fix it?

    1 vote
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    Under Review  ·  1 comment  ·  Sentiment Analysis  ·  Flag idea as inappropriate…  ·  Admin →
  19. 1 vote
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    0 comments  ·  Language Support  ·  Flag idea as inappropriate…  ·  Admin →
  20. Poor sentiment score for positive statement

    “It was great and he did help me.”
    Cognitive gives 18% which to me looks incorrect.

    3 votes
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    Started  ·  2 comments  ·  Sentiment Analysis  ·  Flag idea as inappropriate…  ·  Admin →
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