def __is_no_idea(cls, df):
df_ex_adverb = df[~df.pos.isin(Nlp_util.pos_ADVERBs)]
noun_list = Nlp_util.make_noun_list(df)
verb_list = Nlp_util.make_verb_list(df, type="normal")
is_subj_himself = Nlp_util.is_first_subject_in(["i"], noun_list,
verb_list)
exist_subj_for_first_verb = Nlp_util.exist_subj_for_first_verb(
noun_list, verb_list)
is_idk_what_to_do = Df_util.anything_isin(
{"do not know", "not sure", "have no idea"},
df_ex_adverb["base_form"]) and Df_util.anything_isin(
{"what to do", "how to do", "what to deal", "how to deal"},
df_ex_adverb["base_form"])
is_want_advice = Df_util.anything_isin(
{"want", "need", "give me"},
df_ex_adverb["base_form"]) and Df_util.anything_isin(
{"advice", "suggestion"}, df_ex_adverb["word"])
is_give_me_advice = Df_util.anything_isin(
{"need", "want", "give me"},
df_ex_adverb["base_form"]) and Df_util.anything_isin(
{"advice", "suggestion"}, df_ex_adverb["word"])
what_should_i_do = Nlp_util.are_words1_words2_words3_in_order(
df_ex_adverb, ["what"], ["should"], ["i"])
return (is_subj_himself and (is_idk_what_to_do or is_want_advice)) or (
not exist_subj_for_first_verb
and is_give_me_advice) or what_should_i_do
def __is_complaint_or_dissing(df):
noun_list = Nlp_util.make_noun_list(df)
verb_list = Nlp_util.make_verb_list(df, type="normal")
said_you_dont_listen = Nlp_util.is_first_subject_in(
["you"], noun_list, verb_list) and Df_util.anything_isin(
["not listen", "never listen"], df["base_form"])
is_dissing = Df_util.anything_isin(["f**k you", "hate you"],
df["base_form"])
return said_you_dont_listen or is_dissing
def __is_despising_himself(df):
noun_list = Nlp_util.make_noun_list(df)
verb_list = Nlp_util.make_verb_list(df, type="normal")
adj_list = Nlp_util.make_adj_list(df)
is_first_sub_i = Nlp_util.is_first_subject_in(["i"], noun_list,
verb_list)
is_the_verb_be = Nlp_util.is_first_verb_in(["be"],
noun_list,
verb_list,
column_name="base_form")
is_the_adj_despising = Nlp_util.is_first_adj_after_first_sub_in(
WORDS_DESPITE_HIMSELF.word.tolist(), noun_list, adj_list)
return is_first_sub_i and is_the_verb_be and is_the_adj_despising
def __exists_want_to(cls, df):
df_without_adverb = df[~df.pos.isin(Nlp_util.pos_ADVERBs)]
noun_list = Nlp_util.make_noun_list(df)
verb_list = Nlp_util.make_verb_list(df, type="basic")
idx_of_i_wanna = Nlp_util.get_idx_list_of_idiom(
"i want to", df_without_adverb.base_form)
if len(idx_of_i_wanna) != 0 and len(
df.loc[idx_of_i_wanna[0] + 2:, :]) > 1:
if cls.__exists_word_after_want_to(
df) and Nlp_util.is_first_subject_in({"i"}, noun_list,
verb_list):
return True
else:
return False
else:
return False