How to use the azure-cognitiveservices-language-textanalytics.azure.cognitiveservices.language.textanalytics.models.ErrorResponseException function in azure-cognitiveservices-language-textanalytics

# Construct headers
        header_parameters = {}
        header_parameters['Content-Type'] = 'application/json; charset=utf-8'
        if custom_headers:
            header_parameters.update(custom_headers)

        # Construct body
        body_content = self._serialize.body(input, 'BatchInput')

        # Construct and send request
        request = self._client.post(url, query_parameters)
        response = self._client.send(
            request, header_parameters, body_content, stream=False, **operation_config)

        if response.status_code not in [200]:
            raise models.ErrorResponseException(self._deserialize, response)

        deserialized = None

        if response.status_code == 200:
            deserialized = self._deserialize('LanguageBatchResult', response)

        if raw:
            client_raw_response = ClientRawResponse(deserialized, response)
            return client_raw_response

        return deserialized

# Construct headers
        header_parameters = {}
        header_parameters['Content-Type'] = 'application/json; charset=utf-8'
        if custom_headers:
            header_parameters.update(custom_headers)

        # Construct body
        body_content = self._serialize.body(input, 'MultiLanguageBatchInput')

        # Construct and send request
        request = self._client.post(url, query_parameters)
        response = self._client.send(
            request, header_parameters, body_content, stream=False, **operation_config)

        if response.status_code not in [200]:
            raise models.ErrorResponseException(self._deserialize, response)

        deserialized = None

        if response.status_code == 200:
            deserialized = self._deserialize('SentimentBatchResult', response)

        if raw:
            client_raw_response = ClientRawResponse(deserialized, response)
            return client_raw_response

        return deserialized

# Construct headers
        header_parameters = {}
        header_parameters['Content-Type'] = 'application/json; charset=utf-8'
        if custom_headers:
            header_parameters.update(custom_headers)

        # Construct body
        body_content = self._serialize.body(input, 'MultiLanguageBatchInput')

        # Construct and send request
        request = self._client.post(url, query_parameters)
        response = self._client.send(
            request, header_parameters, body_content, stream=False, **operation_config)

        if response.status_code not in [200]:
            raise models.ErrorResponseException(self._deserialize, response)

        deserialized = None

        if response.status_code == 200:
            deserialized = self._deserialize('KeyPhraseBatchResult', response)

        if raw:
            client_raw_response = ClientRawResponse(deserialized, response)
            return client_raw_response

        return deserialized