Added freq_splitter.py, which implements a DP algorithm to split strings into words based on their frequencies
Added some wordlists and word frequencies
Changed parsed_tweet.py to parsed.py --
        Added Parsed superclass
	Added ParsedUser class, which inherits from Parsed and serves as the user-based equivalent of ParsedTweet
        Modified ParsedTweet class to inherit from Parsed
        Modified ParsedTweet.__init__ call signature: pulling out the tweet text is now optional--
                old: ParsedTweet(tweet_text,metadata)
                new: ParsedTweet(tweet_text, data) or ParsedTweet(js=data)
	Modified ParsedTweet to create a ParsedUser instance from the user info supplied by the Twitter API
	Made other various changes to ParsedTweet, mostly in which metadata elements get turned into attributes