Simple sentiment calculator for spanish texts. It calculates text positivity, negativity or neutrality by replacing words with their stored values and operating with them. It uses two types of words:

• Polarities: This words make the sentence more positive or more negative.
• Modifiers: This words modify the polarity of other words.

##Requirements

Python 2.7

pip install -r requirements.txt

Redis

##Scripts ./redis_words_loader.py -m <text_file> Loads modifiers from text_file (check modifiers.txt)

./redis_words_loader.py -p <text_file> Loads polarities from text_file (check polarities.txt)

./spell_checker.py Loads word ocurrences for the spellchecker.

./redis_load_analyser_txts.py Uses the script above to load the text files stored in /analyser/data

./run_analyser.py [-debug] Prints polarity of text

./run_analyser.py -f [-debug] Prints polarity of text from text file

./init_server.py Starts analyzer server at localhost:5000.

./make_request.py Sends a demo request to the server.

##Some links

How to Write a Spelling Corrector.

Word values in anew.txt values were calculated from Spanish ANEW. They should be removed for commercial use.

The usage of a scoring method opposed to a probabilistic one was inspired by Basic Sentiment Analysis with Python.