Response
The output contains information about the status of the request. Ultimately, it summarizes the reputational analysis of the text across three distinct axes. In the first instance, the entities (i.e., companies) detected in the text are obtained. Second, the reputational dimensions (categories) affecting each of the entities are output, each with an associated polarity. Finally, the global polarity for each entity is included, which in turn can be used as an indication as to whether the given text will likely have a positive, negative, neutral or no effect on the reputation of each of the entities detected in the text. Any phrases that have been relevant in the decision-making process are also output.
Sample response:
Endesa is building the largest photovoltaic project for self-consumption in the Balearic Islands
Response object:
| Name | Description |
|---|---|
status | Describes the request outcome in terms of success or failure. |
status.code | Numerical value of result code. Refer to the error code catalog. |
status.msg | Human-readable error code, if any, orOK. |
status.credits | Credits consumed by the request. |
status.remaining_credits | Credits left to reach the usage limit. |
time | Time taken for the API to perform de request. |
deep_time | Time taken for the engine to perform the analysis. |
entity_list | List of the entities identified in the text. In the case that no entity is detected in the text and if no input focus has been specified, a special entity _DEFAULT_ will be obtained in order to obtain general information from the whole text. |
entity_list[].id | Id of the entity. This ID will correspond to its senseID in the resources. If the entity has been detected in the analysis, the ID will be specifically created for that analysis and will begin by two underscores. |
entity_list[].form | Main form of the entity. |
entity_list[].type | Ontology type of the entity. Refer to Organizations according to MeaningCloud's ontology. |
entity_list[].polarity | Global polarity of the entity. Possible values:
|
entity_list[].category_list | List of reputational categories in which the entity is classified. |
entity_list[].category_list[].code | Category code. |
entity_list[].category_list[].label | Category description. |
entity_list[].category_list[].polarity | Polarity associated to the category. |
entity_list[].category_list[].abs_relevance | Absolute relevance value of the category. |
entity_list[].category_list[].relat_relevance | Relative relevance value of the category, a number in the 0-100% range, and computed with respect to the top ranked result. |
entity_list[].category_list[].sentence_list | List of sentences in which the text is divided. |
entity_list[].category_list[].sentence_list[].text | Sentence text. |
entity_list[].category_list[].sentence_list[].inip | Position of the first character of the sentence (zero indexed). |
entity_list[].category_list[].sentence_list[].endp | Position of the last character of the sentence (zero indexed). |
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