Natural Language Processing and Sentiment Analysis of YouTube Comments

It's easy to use natural language processing and open-sourced technologies in Python to create sentiment analyses for YouTube comments. This presentation gives a glimpse into "how".

Transcript

1. S E N T I M E N T A N A LY S I S W I T H Y O U T U B E C O M M E N T S J u n e 2 0 1 6
2. ` OPPORTUNITY MAKERSTUDIOS.COM | 2 Y OU T U BE C OMM E N TS / SEN TI ME NT A NALY S I S GETTING SENTIMENT INSIGHTS is an important concern for Maker Studios INTERNAL & EXTERNAL STAKEHOLDERS respond to clear data visualizations OPEN-SOURCE TECHNOLOGIES EXIST for easy natural-language processing
3. ` SOLUTION MAKERSTUDIOS.COM | 3 Y OU T U BE C OMM E N TS / SEN TI ME NT A NALY S I S N AT U R A L L A N G U A G E TO O L K I T ( N LT K ) http://www.nltk.org/ N LT K i s a p l a t f o r m f o r b u i l d i n g P y t h o n programs to work with human language data .
4. ` MAKERSTUDIOS.COM | 4 Y OU T U BE C OMM E N TS / SEN TI ME NT A NALY S I S
5. ` VADER MAKERSTUDIOS.COM | 5 Y OU T U BE C OMM E N TS / SEN TI ME NT A NALY S I S Valence-Aware Dictionary and Sentiment Reasoner A p a r s i m o n i o u s , r u l e - b a s e d d i c t i o n a r y f o r s o c i a l m e d i a s e n t i m e n t a n a l y s i s positive negative neutral Best concept ever 0.677 0 0.323 That’s so cool. I love it ! Laughed so hard 0.675 0 0.325 This is worse than shit 0 0.563 0.437 fuck u whoever made this , not funny 0 0.632 0.368
6. ` SOURCE MAKERSTUDIOS.COM | 6 Y OU T U BE C OMM E N TS / SEN TI ME NT A NALY S I S https://www.github.com/MakerStudios/marketing-optimization