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import re
from colorama import Fore
problem_pattern = r"(problem|issue|challenge)"
importance_pattern = r"\b(important|challenging|crucial|critical|vital|significant)\b"
interesting_pattern = r"\b(interesting|fascinating|intriguing|exciting)\b"
novel_pattern = r"\b(novel|new|original|innovative|creative)\b"
model_pattern = r"(model|architecture|method|approach|framework)"
experiment_pattern =r"\b(evaluate|evaluation|comparison|result|experiment[s])\b|\b(analysis|analyses)\b"
result_pattern = r"\b(result|performance|metric|score)\b"
insight_pattern = r"\b(insight|observation|finding|trend)\b"
limitation_pattern = r"(limitation|drawback|weakness|challenge)"
scalability_pattern = r"\b(complexity|scalability|scalable)\b"
real_world_pattern = r"realistic|real\-world|practical"
theoretical_pattern = r"\b(math|theoretical|justification|justify|foundation|theory)\b"
def text_match_problem(text):
"""Regex patterns to search for problem-related and importance-related keywords"""
# Check if both patterns are found in the text
return re.search(problem_pattern, text, re.IGNORECASE) and (re.search(importance_pattern, text, re.IGNORECASE)
or re.search(interesting_pattern, text, re.IGNORECASE))
def text_match_dataset(text):
"""
Check if the strengths mentioned by reviewers contains the word "dataset" or "data set".
"""
return re.search(r"\b(dataset|data set)\b", text, re.IGNORECASE)
def text_match_model(text):
"""
Check if the strengths mentioned by reviewers contains the word "model".
"""
return re.search(model_pattern, text, re.IGNORECASE)
def text_match_experiment(text):
"""
Check if the strengths mentioned by reviewers contains the word "experiment".
"""
return re.search(experiment_pattern, text, re.IGNORECASE) or re.search(result_pattern, text, re.IGNORECASE)
def text_match_real_world(text):
"""
Check if the strengths mentioned by reviewers contains the word "model".
"""
return re.search(real_world_pattern, text, re.IGNORECASE)
def text_match_theoretical(text):
"""
Check if the strengths mentioned by reviewers are related to theoretical analysis / foundation.
"""
return re.search(theoretical_pattern, text, re.IGNORECASE)
def text_match_scalability(text):
"""
Check if the strengths mentioned by reviewers are related to scalability or time/space complexity.
"""
return re.search(scalability_pattern, text, re.IGNORECASE)
def match_strengths(text):
"""
Check if the strengths mentioned by reviewers contains the word "model".
"""
for category, f in {"problem": text_match_problem,
"dataset": text_match_dataset,
"model": text_match_model,
"limitation": text_match_limitation,
"experiment": text_match_experiment,
"theoretical-analysis": text_match_theoretical,
"scalability": text_match_scalability,
}.items():
if f(text):
return category
print(
Fore.RED
+ f"No category found for weaknesses: {text}"
+ Fore.BLACK
)
def match_weaknesses(text):
for category, f in {"problem": text_match_problem,
"dataset": text_match_dataset,
"model": text_match_model,
"limitation": text_match_limitation,
"experiment": text_match_experiment,
"real-world": text_match_real_world,
"theoretical-analysis": text_match_theoretical,
"scalability": text_match_scalability,
}:
if f(text):
return category
print(
Fore.RED
+ f"No category found for weaknesses: {text}"
+ Fore.BLACK
)
return None
raise ValueError(f"No category found for weaknesses: {text}")
def text_match_limitation(text):
"""
Check if the strengths mentioned by reviewers contains the word "model".
"""
return re.search(limitation_pattern, text, re.IGNORECASE) |