9007173bc361484fb7484d3abff437d91717c602,pliers/extractors/api/google.py,GoogleLanguageAPIExtractor,_to_df,#GoogleLanguageAPIExtractor#Any#,460

Before Change

        // TODO: use mention-specific data
        for entity in response.get("entities", []):
            mentions = []
            entity_data = {}
            for k, v in entity.items():
                if k == "mentions":
                    mentions = [self._get_span(m) for m in v]
                elif k == "sentiment":
                    entity_data.update(self._prefix_keys(v, "sentiment"))
                elif k != "name":  // avoid redundancy with "text" field
                    entity_data["entity_%s" % k] = v

            for m in mentions:

After Change

        // Entity-level features
        // TODO: use mention-specific data
        for entity in response.get("entities", []):
            entity_copy = entity.copy()
            mentions = entity_copy.pop("mentions", [])
            entity_copy.pop("name", None)

            for m in mentions:

Instances