![]() csv for easy use (ie, with Pandas) or convert straight to a pandas dataframe. The module also contains a parser to convert the. "credentials" contains your Twitter API key, which can be obtained for free here Documentation and tips for setting up smart keyword queries can be found here llect_from_stream(max_tweets= 10,output_json_name= "python_tweets.json", target_words=keywords) Stream = twitter_listener.TwitterStreamListener(**credentials) Twitter_nlp_toolkit.twitter_listener is the listener module, which can be used to monitor Twitter and stream ![]() While the package is still under active development, the following functionality is expected to be stable: Listener ![]() To utilize the sentiment analysis package, you will also need to install SpaCy's small English language model. A additional brief walkthrough can be found here. A suite of tools for collecting, pre-processing, analyzing and sentiment-scoring twitter data. ![]()
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