Microsoft

Text Analytics API

Welcome to the Text Analytics API Forum

Categories

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.

How can we improve Microsoft Cognitive Services?

(thinking…)

Enter your idea and we'll search to see if someone has already suggested it.

If a similar idea already exists, you can support and comment on it.

If it doesn't exist, you can post your idea so others can support it.

Enter your idea and we'll search to see if someone has already suggested it.

  • Hot ideas
  • Top ideas
  • New ideas
  • My feedback
  1. 1 vote
    Sign in
    (thinking…)
    Password icon
    Signed in as (Sign out)

    We’ll send you updates on this idea

    Under Review  ·  0 comments  ·  Documentation  ·  Flag idea as inappropriate…  ·  Admin →
  2. Service Accuracy

    It would be nice to have a page in the documentation that describe the API performance and accuracy.

    2 votes
    Sign in
    (thinking…)
    Password icon
    Signed in as (Sign out)

    We’ll send you updates on this idea

    Under Review  ·  0 comments  ·  Documentation  ·  Flag idea as inappropriate…  ·  Admin →
  3. What is the definition of transaction in Text Analytics API

    After several calls to Text Analytics API, I noticed that the amount of transactions > the amount of calls. So how is transaction defined?

    2 votes
    Sign in
    (thinking…)
    Password icon
    Signed in as (Sign out)

    We’ll send you updates on this idea

    Under Review  ·  1 comment  ·  Documentation  ·  Flag idea as inappropriate…  ·  Admin →
  4. We need more details on the score from Sentiment analysis

    The sentiment analysis score is descibed as "returns a numeric score between 0 and 1. Scores close to 1 indicate positive sentiment and scores close to 0 indicate negative sentiment. Sentiment score is generated using classification techniques. The input features of the classifier include n-grams, features generated from part-of-speech tags, and word embeddings."

    We need more information about the scoring. The text "I'm sorry, but you could do so much better." returns 0.58 but it is very negative. What can we do to ensure that we can trust the results? Would it be useful to use longer pieces of text?

    3 votes
    Sign in
    (thinking…)
    Password icon
    Signed in as (Sign out)

    We’ll send you updates on this idea

    Under Review  ·  3 comments  ·  Documentation  ·  Flag idea as inappropriate…  ·  Admin →
  • Don't see your idea?

Feedback and Knowledge Base