Complete Program

Hi All,

Please find the complete Sentimental Analysis program

trainingdata.csv

i am fine,neutral
its great,positive
he is good,positive
so bad,negative
you are waste,negative

testdata.csv

1,raj,i am fine
2,manu,he is great
3,Raji,it is bad

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from nltk import NaiveBayesClassifier as nbc
from nltk.tokenize import word_tokenize
from itertools import chain
import csv

with open('trainingdata.csv','r') as csvinput:
    reader=csv.reader(csvinput,delimiter=",")
    rownum = 0 
    training_data = []

    for row in reader:
        training_data.append (row)
        rownum += 1

vocabulary = set(chain(*[word_tokenize(i[0].lower()) for i in training_data]))

feature_set = [({i:(i in word_tokenize(sentence.lower())) for i in vocabulary},tag) for sentence, tag in training_data]

classifier = nbc.train(feature_set)

with open('testdata.csv','r') as csvinput:
    with open('data.csv', 'w') as csvoutput:
        writer = csv.writer(csvoutput, lineterminator='\n')
        reader1 = csv.reader(csvinput)

        all = []
        row = next(reader1)
        

        for row in reader1:
            test_sentence = row[2]
            featurized_test_sentence =  {i:(i in word_tokenize(test_sentence.lower())) for i in vocabulary}
            print ("test_sent:",test_sentence)
            print ("tag:",classifier.classify(featurized_test_sentence))
            row.append(classifier.classify(featurized_test_sentence))
            all.append(row)
        writer.writerows(all)