start = word_id.find(token)
if (start == -1):
final_hindi_tok = find_hinglish_to_hindi(
token, h2h_list_returned)
if (final_hindi_tok != 0):
final_english_tok = find_hindi_to_english(
final_hindi_tok, h2e_list_returned)
if (final_english_tok != 0):
final_english_tok = spell_correct(
final_english_tok)
polarity = get_senti(final_english_tok)
if (polarity >= .2):
pos_score = compute_pos_score(pos_score)
elif (polarity > -.2 and polarity < .2):
neu_score = compute_neu_score(neu_score)
else:
neg_score = compute_neg_score(neg_score)
else:
trans_english_tok = goog_trans_hindi_to_english(
final_hindi_tok)
if (find_pos == -1 and find_neg == -1 and find_neu == -1):
start = word_id.find(token)
if (start == -1):
continue
else:
end = start + len(token)
check = word_id[end + 1]
if (check == "e"):
token = spell_correct(token)
polarity = get_senti(token)
theory = get_sub(token)
sub_compute.compute_score(
polarity, pos_score, neu_score, neg_score,
sub_score, theory)
elif (check == 'h'):
hinglish_2_hindi_tok = hinglish_2_hindi(
token, h2h_list)
if (hinglish_2_hindi_tok != 0):
final_english_tok = hindi_2_english(