Characterized by a constantly evolving landscape, the IT industry has encountered numerous challenges over the years. From the profound disruptions caused by the COVID-19 pandemic to the pressures exerted by the rapid evolution of artificial intelligence, this sector has undergone substantial transformations, many of which have directly impacted the professionals within it. These shifts have not only redefined operational paradigms but also reshaped the workforce, needing continuous adaptation and resilience among those involved. This study conducts a complex investigation of IT job postings on Reddit to identify labour market trends, evaluate employee sentiment, and examine how job titles correlate with sentiment scores. Through web scraping with Python’s PRAW library, approximately 7,000 IT-related job posts from 2024 were collected, for which VADER was applied for sentiment assessment, complemented by a Named Entity Recognition (NER) model enhanced with cosine similarity to extract relevant IT job titles. Additionally, Latent Dirichlet Allocation (LDA) topic modelling uncovered five key thematic clusters within these discussions: Interview and Hiring Logistics, Application Mechanics and Follow-Up, Technical Skill Development, Compensation and Career Growth, and Team Dynamics. The findings reveal significant sentiment variations across job roles, with software engineering positions being the most frequently discussed but receiving mixed reactions. Managerial roles exhibited lower sentiment scores, reflecting workplace challenges, while technical specialist roles generally held positive perceptions. The study provides valuable insights for HR professionals, job seekers, and industry analysts by highlighting sentiment patterns and key discussion topics shaping the IT job market.

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Unveiling IT Job Market Sentiment and Trends: A Reddit-Based Study Using Sentiment Analysis and Named Entity Recognition

  • Denisa-Maria Iordache,
  • Cristina Iancu

摘要

Characterized by a constantly evolving landscape, the IT industry has encountered numerous challenges over the years. From the profound disruptions caused by the COVID-19 pandemic to the pressures exerted by the rapid evolution of artificial intelligence, this sector has undergone substantial transformations, many of which have directly impacted the professionals within it. These shifts have not only redefined operational paradigms but also reshaped the workforce, needing continuous adaptation and resilience among those involved. This study conducts a complex investigation of IT job postings on Reddit to identify labour market trends, evaluate employee sentiment, and examine how job titles correlate with sentiment scores. Through web scraping with Python’s PRAW library, approximately 7,000 IT-related job posts from 2024 were collected, for which VADER was applied for sentiment assessment, complemented by a Named Entity Recognition (NER) model enhanced with cosine similarity to extract relevant IT job titles. Additionally, Latent Dirichlet Allocation (LDA) topic modelling uncovered five key thematic clusters within these discussions: Interview and Hiring Logistics, Application Mechanics and Follow-Up, Technical Skill Development, Compensation and Career Growth, and Team Dynamics. The findings reveal significant sentiment variations across job roles, with software engineering positions being the most frequently discussed but receiving mixed reactions. Managerial roles exhibited lower sentiment scores, reflecting workplace challenges, while technical specialist roles generally held positive perceptions. The study provides valuable insights for HR professionals, job seekers, and industry analysts by highlighting sentiment patterns and key discussion topics shaping the IT job market.