zhunhung
59 lines
2.7 KiB
Python
59 lines
2.7 KiB
Python
import subprocess
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import shlex
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import os.path
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import sys
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import pandas as pd
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from os import getcwd
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class PySentiStr:
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def __init__(self):
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pass
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def setSentiStrengthPath(self, ss_Path):
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self.SentiStrengthLocation = ss_Path
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def setSentiStrengthLanguageFolderPath(self, sslf_Path):
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# Ensure it has a forward slash at the end
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if sslf_Path[-1] != '/':
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sslf_Path += '/'
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self.SentiStrengthLanguageFolder = sslf_Path
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def getSentiment(self, df_text, score='scale'):
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if not hasattr(self, 'SentiStrengthLocation'):
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assert False, "Set path using setSentiStrengthPath(path) function."
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if not hasattr(self, 'SentiStrengthLanguageFolder'):
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assert False, "Set path using setSentiStrengthLanguageFolderPath(path) function."
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if type(df_text) != pd.Series:
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df_text = pd.Series(df_text)
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df_text = df_text.str.replace('\n','')
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df_text = df_text.str.replace('\r','')
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conc_text = '\n'.join(df_text)
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p = subprocess.Popen(shlex.split("java -jar '" + self.SentiStrengthLocation + "' stdin sentidata '" + self.SentiStrengthLanguageFolder + "' trinary"),stdin=subprocess.PIPE,stdout=subprocess.PIPE,stderr=subprocess.PIPE)
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b = bytes(conc_text.replace(" ","+"), 'utf-8')
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stdout_byte, stderr_text = p.communicate(b)
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stdout_text = stdout_byte.decode("utf-8")
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stdout_text = stdout_text.rstrip().replace("\t"," ")
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stdout_text = stdout_text.replace('\r\n','')
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senti_score = stdout_text.split(' ')
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try:
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senti_score = list(map(float, senti_score))
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except ValueError:
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raise ValueError("SentiStrengthLanguageFolderPath is set as '{}'. Ensure it is correct and ends with a forward slash '/'".format( self.SentiStrengthLanguageFolder))
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senti_score = [int(i) for i in senti_score]
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if score == 'scale': # Returns from -1 to 1
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senti_score = [sum(senti_score[i:i+2])/4 for i in range(0, len(senti_score), 3)]
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elif score == 'binary': # Return 1 if positive and -1 if negative
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senti_score = [1 if senti_score[i] >= abs(senti_score[i+1]) else -1 for i in range(0, len(senti_score), 3)]
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elif score == 'trinary': # Return Positive and Negative Score and Neutral Score
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senti_score = [tuple(senti_score[i:i+3]) for i in range(0, len(senti_score), 3)]
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elif score == 'dual': # Return Positive and Negative Score
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senti_score = [tuple(senti_score[i:i+2]) for i in range(0, len(senti_score), 3)]
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else:
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return "Argument 'score' takes in either 'scale' (between -1 to 1) or 'binary' (two scores, positive and negative rating)"
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return senti_score
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