The Qlik MeaningCloud connector uses the Sentiment Analysis API to fetch the sentiment score and other sentiment-related information for plain text. This includes information like subjectivity, irony, and agreement.
- Qlik Sense Business
- Qlik Sense Enterprise SaaS
Ways to access your data
To access your MeaningCloud data you need to authenticate the connector with your MeaningCloud API key, which is the same as your license key. You also need to select the correct maximum requests per second, based on your MeaningCloud subscription level.
Loading data from tables
|Use this table to fetch sentiment data for the overall text.
|Use this table to fetch sentiment data for each sentence.
|Use this table to fetch sentiment data about entities that are extracted from your text.
|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.
|Type the text that you want to analyze. You cannot enter text and use URL to content simultaneously.
|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.
|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.
The most effective way to use the MeaningCloud connector is to have a script pass rows of data to the MeaningCloud API to generate a new table with sentiment scores for each row of data.
Using a For/Next loop
Text is not URL encoded
If you are using text data from a source which is not already URL encoded, you can write a script that encodes the text before sending it to the sentiment analyzer.
Working with the MeaningCloud API quota limits
The Qlik Web Connectors use the MeaningCloud API to extract data from MeaningCloud and load it into your Qlik Sense app. While reloading you MeaningCloud-based app, you might receive an error message that the connector has reached the MeaningCloud API rate limit and that all subsequent API calls will fail until the connector falls back under the throttling limit. If you receive this error message, then you have exceeded one of the API rate limits.
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.