usbader

import networkx as nx
import matplotlib.pyplot as plt


def draw_kg(pairs):
    k_graph = nx.from_pandas_edgelist(pairs, 'subject', 'object',
            create_using=nx.MultiDiGraph())
    node_deg = nx.degree(k_graph)
    layout = nx.spring_layout(k_graph, k=0.15, iterations=20)
    plt.figure(num=None, figsize=(120, 90), dpi=80)

usbader

import pandas as pd
import re
import spacy
import neuralcoref

nlp = spacy.load('en_core_web_lg')
neuralcoref.add_to_pipe(nlp)


def entity_pairs(text, coref=True):

usbader

import hmni

# Initialize a Matcher Object
matcher = hmni.Matcher(model='latin')

# Single Pair Similarity
matcher.similarity('Alan', 'Al')
# 0.6838301782536617
matcher.similarity('Alan', 'Al', prob=False)
# 1

usbader

import wikipediaapi
import pandas as pd

def wiki_page(page_name):
    wiki_api = wikipediaapi.Wikipedia(language='en',
                                      extract_format=wikipediaapi.ExtractFormat.WIKI)
    page_name = wiki_api.page(page_name)
    if not page_name.exists():
        print('page does not exist')
        return