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Calculates the sentiment of the specified text or text associated with specified url based on the differential between references to "Positive" and "Negative" Topic Models and Topic Groups. Sentiment is simply a customized PEP Rule
http://psydex.net/api/sentiment
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| api_key |
API Key provided by Psydex |
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| text |
Text String to Analyze |
| url |
URL to analyze |
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| Response XML Schema Defintion (XSD) |
| score |
Score between -1.00 and +1.00 (-1 = most negative and +1 = Most Positive). Calculated by taking the difference between positive and negative sentiment topics in text. Uses Sentiment Topic Groups. |
| positive_count |
References to Positive Topics |
| negative_count |
References to Negative Topics |
Samples recent documents given the Topic criteria and calculates the sentiment associated with the referenced topics.
http://psydex.net/api/sentiment/topics
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| api_key |
API Key provided by Psydex |
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| begin |
Epoch Millisecond Timestamp |
| end |
Epoch Millisecond Timestamp |
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| Response XML Schema Defintion (XSD) |
| topic_id |
Uniquely identifies the topic the sentiment is associated with. When multiple criteria or a PQL expression is used, there may be multiple topics. |
| score |
Score between -1.00 and +1.00 (-1 = most negative and +1 = Most Positive). Calculated by taking the difference between positive and negative sentiment topics in text. Uses Sentiment Topic Groups. |
| positive_count |
References to Positive Topics |
| negative_count |
References to Negative Topicsn |
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