research
Happy moments of people ages 13-19 are examined through natural language processing and
artificial intelligence is used to note which words appear most often. Applications of natural language processing, machine learning, sentiment analysis, weighting, tokenization, and general artificial intelligence are explored here. All said processes are found to play a major role in finding what links happiness to specific age groups and people in general. |
Abstract |