nlp_ie_29.py

# separate subject, verb and object

verb_dict = dict()
dis_dict = dict()
dis_list = []

# iterating over all the sentences
for i in range(len(df_show)):
    
    # sentence containing the output
    sentence = df_show.loc[i,'Sent']
    # year of the sentence
    year = df_show.loc[i,'Year']
    # output of the sentence
    output = df_show.loc[i,'Output']
    
    # iterating over all the outputs from the sentence
    for sent in output:
        
        # separate subject, verb and object
        n1, v, n2 = sent.split()[:1], sent.split()[1], sent.split()[2:]
        
        # append to list, along with the sentence
        dis_dict = {'Sent':sentence,'Year':year,'Noun1':n1,'Verb':v,'Noun2':n2}
        dis_list.append(dis_dict)
        
        # counting the number of sentences containing the verb
        verb = sent.split()[1]
        if verb in verb_dict:
            verb_dict[verb]+=1
        else:
            verb_dict[verb]=1

df_sep = pd.DataFrame(dis_list)