Ways to access your data
To access your
Loading data from tables
|SentimentOverall||Use this table to fetch sentiment data for the overall text.|
|SentimentBySentence||Use this table to fetch sentiment data for each sentence.|
|SentimentByEntity||Use this table to fetch sentiment data about entities that are extracted from your text.|
|SentimentByConcept||Use this table to fetch sentiment data about concepts that are extracted from your text.|
Before running a table to return sentiment analysis for your text, you must configure the request type by setting the table parameters.
|URL to content||Enter the URL for the text that you want to analyze. Only non-authenticated HTTP and FTP are supported.|
|Text content||Type the text that you want to analyze. You cannot enter text and use URL to content simultaneously.|
|Text type||Plain text or markup. If you are analyzing text with markup, such as HTML or XML, select markup to prevent analyzing markup tags.|
Select the language or leave as default to automatically detect the language. If you are analyzing short strings, we recommend selecting the text language.
|Sentiment model||To learn about the MeaningCloud sentiment models, see How do sentiment models work?|
|Expand global polarity||If you choose to enable this parameter, less weight is applied to syntactic relationships.|
To learn more about the specific responses that the tables return, see Response.
Working with the MeaningCloud API quota limits
The Qlik Web Connectors use the
Reference - MeaningCloud developer documentation
You can refer to the MeaningCloud API documentation to learn more about the requirements and restrictions imposed by the MeaningCloud API.
You have exceeded the API limits imposed by your MeaningCloud API Key.
To reduce the impact of reaching the API rate limits, develop your app with the following in mind:
- Extract only the data you need.
- Reload one MeaningCloud-based application at a time.
- Ensure that loops in your script that make API calls will not result in infinite loops.