SqueezeNet module

class SqueezeNet.SqueezeNet(name)

Bases: object

The main SqeezeNet class that uses all the modules in order to perform it’s task

clean_text(text, custom_remove_words=None)

Given some text, return a list of clean words.

Parameters:

• text – Text to clean up

• custom_remove_words – A list of words to also remove

Returns:

filtered_text: Filters words that are 1-2 character in length and custom words

Return type:

list

sentiment_analysis(text)

A function to perform sentiment analysis with vaderSentiment

Parameters:

text – text to perform sentiment analysis on

Returns:

score: the sentiment score

Return type:

dict