babbler.tagging.Tagger.tags

All Samples(2) | Call(2) | Derive(0) | Import(0)

Returns tags for the given text.

Steps:

1) Go through every word in the text and if non-numeric, valid
   length and non-dictionary, create up to 4 possible tags from
   it, the word combined with the previous word, the next word,
   both previous and next words together, and the word itself.
   Only use previous and next words that aren't stopwords.
2) Ignore all the possible tags from the word if any of(more...)

src/b/a/babbler-0.3.4/babbler/bot.py babbler(Download)

                    tweet = entry["title"]
                    reply_to = None
                for tag in tagger.tags(entry["title"]):
                    tag = " #" + tag
                    # Extra check to ensure tag isn't already in the tweet.

src/b/a/babbler-HEAD/babbler/bot.py babbler(Download)

                    tweet = entry["title"]
                    reply_to = None
                for tag in tagger.tags(entry["title"]):
                    tag = " #" + tag
                    # Extra check to ensure tag isn't already in the tweet.