Week 2 - Coding Exercise
I tested sentiment analysis by adding a variety of real-world reviews typically found on platforms like Google Maps and Yelp. After running at least 40 prompts, I found around 20 of them to be inaccurate.
Here are a couple of examples:
- Example 1: “Loved the burger. But fries were not great” – This should be a neutral or mixed review, but it’s labeled as positive.
- Example 2: “Just alright! Ha Ha Ha!” – This is a neutral or negative comment, but it’s tagged as positive. If I remove the “Ha Ha Ha,” it correctly gets labeled as neutral.
In Exercise 2, I noticed the following:
- Changing the 5th review to “3.5/5” correctly labels it as neutral.
- However, when I change the 4th review (while keeping the 5th review as “3.5/5”) to “Love it!”, the 5th review is incorrectly tagged as positive.
These inconsistencies make me think the sentiment analysis still has room for improvement.
If anyone has any game-changing resources or tips for mastering sentiment analysis, I’d love to hear them! I’m a beginner