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Python Twitter.get_tweet_text方法代码示例

本文整理汇总了Python中twitter.Twitter.get_tweet_text方法的典型用法代码示例。如果您正苦于以下问题:Python Twitter.get_tweet_text方法的具体用法?Python Twitter.get_tweet_text怎么用?Python Twitter.get_tweet_text使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在twitter.Twitter的用法示例。


在下文中一共展示了Twitter.get_tweet_text方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: Analysis

# 需要导入模块: from twitter import Twitter [as 别名]
# 或者: from twitter.Twitter import get_tweet_text [as 别名]
if __name__ == "__main__":
    analysis = Analysis(logs_to_cloud=False)
    trading = Trading(logs_to_cloud=False)
    twitter = Twitter(logs_to_cloud=False)

    # Look up the metadata for the tweets.
    tweets = twitter.get_tweets(SINCE_TWEET_ID)

    events = []
    for tweet in tqdm(tweets):
        event = {}

        timestamp_str = tweet["created_at"]
        timestamp = trading.utc_to_market_time(datetime.strptime(
            timestamp_str, "%a %b %d %H:%M:%S +0000 %Y"))
        text = twitter.get_tweet_text(tweet)
        event["timestamp"] = timestamp
        event["text"] = text
        event["link"] = twitter.get_tweet_link(tweet)

        # Extract the companies.
        companies = analysis.find_companies(tweet)

        strategies = []
        for company in companies:

            # What would have been the strategy?
            market_status = get_market_status(timestamp)
            strategy = trading.get_strategy(company, market_status)

            # What was the price at tweet and at EOD?
开发者ID:nesttle,项目名称:trump2cash,代码行数:33,代码来源:benchmark.py

示例2: __init__

# 需要导入模块: from twitter import Twitter [as 别名]
# 或者: from twitter.Twitter import get_tweet_text [as 别名]

#.........这里部分代码省略.........
                                (name, mid))
                continue
            self.logs.debug("Found company data: %s" % company_data)

            for company in company_data:

                # Extract and add a sentiment score.
                sentiment = self.get_sentiment(text)
                self.logs.debug("Using sentiment for company: %s %s" %
                                (sentiment, company))
                company["sentiment"] = sentiment

                # Add the company to the list unless we already have the same
                # ticker.
                tickers = [existing["ticker"] for existing in companies]
                if not company["ticker"] in tickers:
                    companies.append(company)
                else:
                    self.logs.warn(
                        "Skipping company with duplicate ticker: %s" % company)

        return companies

    def get_expanded_text(self, tweet):
        """Retrieves the text from a tweet with any @mentions expanded to
        their full names.
        """

        if not tweet:
            self.logs.warn("No tweet to expand text.")
            return None

        try:
            text = self.twitter.get_tweet_text(tweet)
            mentions = tweet["entities"]["user_mentions"]
        except KeyError:
            self.logs.error("Malformed tweet: %s" % tweet)
            return None

        if not text:
            self.logs.warn("Empty text.")
            return None

        if not mentions:
            self.logs.debug("No mentions.")
            return text

        self.logs.debug("Using mentions: %s" % mentions)
        for mention in mentions:
            try:
                screen_name = "@%s" % mention["screen_name"]
                name = mention["name"]
            except KeyError:
                self.logs.warn("Malformed mention: %s" % mention)
                continue

            self.logs.debug("Expanding mention: %s %s" % (screen_name, name))
            pattern = compile(screen_name, IGNORECASE)
            text = pattern.sub(name, text)

        return text

    def make_wikidata_request(self, query):
        """Makes a request to the Wikidata SPARQL API."""

        query_url = WIKIDATA_QUERY_URL % quote_plus(query)
开发者ID:nesttle,项目名称:trump2cash,代码行数:70,代码来源:analysis.py


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