Given a `text` string, get candidates and context for feature
        extraction and classification

def candidates(text):
        """
        Given a `text` string, get candidates and context for feature
        extraction and classification
        """
        for Pmatch in finditer(TARGET, text):
            # the punctuation mark itself
            P = Pmatch.group(1)
            # is it a boundary?
            B = bool(match(NEWLINE, Pmatch.group(5)))
            # L & R
            start = Pmatch.start()
            end = Pmatch.end()
            Lmatch = search(LTOKEN, text[max(0, start - BUFSIZE):start])
            if not Lmatch:  # this happens when a line begins with '.'
                continue
            L = word_tokenize(" " + Lmatch.group(1))[-1]
            Rmatch = search(RTOKEN, text[end:end + BUFSIZE])
            if not Rmatch:  # this happens at the end of the file, usually
                continue
            R = word_tokenize(Rmatch.group(1) + " ")[0]
            # complete observation
            yield Observation(L, P, R, B, end)