jackmahfouz / sentiment-analysis-for-gis-applications Goto Github PK

this is a modeule for sentiment classification.

1 - oftware requirement: 1.1 install the followning libraries using pip (pandas, numpy, nltk {corpus, tokenizer, stem}, scikit-learn, re, jolib) 1.2 Data must have the following attributes (text, aspect, x, y): text: is the text be to classified aspect: i.e. the company to checked x, y: the location where date was published 1.3 the return type is a data frame with (aspect, x, y, sentiment)

2 - user manuale just import the sentiment_classifier and pass it the data frame import using the following line from Modules.utils import sentiment_clossifier, also not that the Modules must be in the same directory as your source file or change the path

3-available algorithms: 3.1:support vector machine classifier with linear kernel. vectorizer used is tf-idf vectorizer