Function sentiment_analysis

instapy/text_analytics.py:236–284

Perform a detailed multilingual sentiment analysis of texts from different sources Available responses: https://github.com/MeaningCloud/meaningcloud-python/blob/master /meaningcloud/Response.py :return: Dictionary with the sentiment results or None

(text, language_of_text, logger)

def sentiment_analysis(text, language_of_text, logger):
    """
    Perform a detailed multilingual sentiment analysis of texts from
    different sources
    Available responses:
        https://github.com/MeaningCloud/meaningcloud-python/blob/master
        /meaningcloud/Response.py

    :return:
        Dictionary with the sentiment results or None
    """

    try:
        # make a request to the Sentiment Analysis API
        sentiment_response = SentimentResponse(
            SentimentRequest(
                key=MEANINGCLOUD_CONFIG["license_key"],
                lang=language_of_text,
                txt=text,
                txtf="plain",
            ).sendReq()
        )
        # check if there are any errors in the request
        request_state = lift_meaningcloud_request(sentiment_response)
        if request_state is not True:
            return None

        # get results
        sentiment = sentiment_response.getResults()
        if sentiment and "score_tag" in sentiment.keys() and sentiment["score_tag"]:
            # if text has a question mark & its polarity is neither negative
            # nor none, then label it neutral
            return sentiment

        else:
            status_message = sentiment_response.getStatusMsg()
            print("")
            logger.error(
                "{}\t~there was an unexpected error :|"
                "\n{}\n".format(MEANINGCLOUD_FAILURE_MSG, status_message)
            )
            return None

    except (ValueError, ConnectionError) as exc:
        print("")
        logger.exception(
            "{}\t~{}\n".format(MEANINGCLOUD_FAILURE_MSG, str(exc).encode("utf-8"))
        )
        return None


def detect_language(text):