Corporations require screening critical information from numerous resumes with different
formats and content for managerial decision-making. However, traditional manual screening …

Recent developments in the field of artificial intelligence has led to renewed interest in
natural language processing. Named entity recognition (NER) is a classic problem in natural …

The tool developed by us is for categorizing and summarizing the resumes. The text was
cleaned by transformation to a better encoding scheme, removal of punctuation marks, stop …

To undertake computational research of the law, efficiently identifying datasets of court
decisions that relate to a specific legal issue is a crucial yet challenging endeavour. This …

The patent serves as a vital component of scientific text, and over time, escalating
competition has generated a substantial demand for patent analysis encompassing areas …

Ushbu maqolada kompyuter lingvistikasining asosiy yoʻnalishlaridan biri hisoblangan
tabiiy tilni qayta ishlash (NLP) da matnlarni Python dasturlash tilida yozilgan spaCy moduli …

Predicting influencers' views and public sentiment on social media is crucial for anticipating
societal trends and guiding strategic responses. This study introduces a novel computational …

El número de libros electrónicos que ingresan en las bibliotecas en formato PDF cada día
es mayor, complicando y haciendo casi inviables algunos procesos realizados …

Hiring processes can often be inefficient and time-consuming, with recruiters struggling to
sift through large volumes of resumes and identify the most qualified candidates. This …

Data availability is becoming more essential, considering the current growth of web-based
data. The data available on the web are represented as unstructured, semi-structured, or …