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import pandas as pd
from pyalex import Works, Authors, Sources, Institutions, Concepts, Publishers, Funders
import pyalex
pyalex.config.email = "theo.alvesdacosta@ekimetrics.com"
class OpenAlex():
def __init__(self):
pass
def search(self,keywords,n_results = 100,after = None,before = None):
works = Works().search(keywords).get()
for page in works.paginate(per_page=n_results):
break
df_works = pd.DataFrame(page)
return works
def make_network(self):
pass
def get_abstract_from_inverted_index(self,index):
# Determine the maximum index to know the length of the reconstructed array
max_index = max([max(positions) for positions in index.values()])
# Initialize a list with placeholders for all positions
reconstructed = [''] * (max_index + 1)
# Iterate through the inverted index and place each token at its respective position(s)
for token, positions in index.items():
for position in positions:
reconstructed[position] = token
# Join the tokens to form the reconstructed sentence(s)
return ' '.join(reconstructed) |