flashtext | Extract Keywords from sentence or Replace keywords | Natural Language Processing library

from flashgeotext.geotext import GeoText

geotext = GeoText()

input_text = '''Shanghai. The Chinese Ministry of Finance in Shanghai said that China plans
                to cut tariffs on $75 billion worth of goods that the country
                i  

 ['java_2e', 'java programing'],
	'product management' => ['product management techniques', 'product management'],
];

$keywordProcessor->addKeywordsFromAssocArray($keywords);

$sentence = 'I know java_2e and product management techniques';

$k  

>>> from flashtext.keyword import KeywordProcessor
>>> keyword_processor = KeywordProcessor()
>>> keyword_processor.add_keyword("测试")
>>> keyword_processor.add_keyword("用例")
>>> text="这只是一个测试用例"
>>&g  

#pip install libxml2-python3 trieregex

from trieregex import TrieRegEx as TRE
from libxml2 import parseDoc
import re


# prepare
words = ['lemon', 'lemons', 'lime', 'limes', 'pomelo', 'pomelos', 'orange', 'oranges', 'citrus', 'citruses']

# New solution : exploding with csv
import csv

CSV_PATH = 'temp_data.csv'
data = []

df_concat.to_csv(CSV_PATH)

with open(file=CSV_PATH, mode='r') as f:
    reader = csv.DictReader(f)
    columns = reader.fieldnames

    print(columns)

df['keywords_1'] = df['text'].apply(lambda sentence: kp.extract_keywords(sentence=sentence, span_info=False))

df['keywords_2'] = df['text'][14452477:].apply(lambda sentence: kp.extract_keywords(sentence=sentence, span_info=False))

df['ke

from flashtext import KeywordProcessor

kp = KeywordProcessor()

# make a dictionary and create key , insert all keyword in one key (i.e CNN, ANN RNN will come under artificial Intelligence, whenever this value will appear it will extract 

from flashtext import KeywordProcessor
import stanza
nlp = stanza.Pipeline(lang='en', processors='tokenize,ner,pos')


# Tag tokens with standard NLP BIO tags
def bio_tagger(entity, start_char, end_char, tag):
    bio_tagged = {"tag":None,

#Package install command
    pip install flashtext 
    pip install inflection

#Script
import pandas as pd
from flashtext import KeywordProcessor
from collections import Counter 
import inflection as inf

keyword_p

from flashtext import KeywordProcessor
#making a dictionary of major charaters
#a few major players for now
keyword_processor = KeywordProcessor(case_sensitive=False)

keyword_dict = {
    "Eddard" : ["ned", "eddard"],
    "Daenerys" : ["d