If you want to increase the effectiveness of your ML model, maybe you should consider Ensemble Learning
We have heard the phrase “unity is strength”, whose meaning can be transferred to different areas of life. Sometimes correct answers to a specific problem are supported by several sources and not just one. This is what Ensemble Learning tries to do, that is, to put together a group of ML models to improve solutions to specific problems. Read More
Daily Archives: December 14, 2020
Sentiment Analysis in 10 Minutes with Rule-Based VADER and NLTK
Using the “Valence Aware Dictionary and sEntiment Reasoner” on the IMDB Reviews Dataset for Rule-based Sentiment Analysis
For a long time, I have been writing on statistical NLP topics and sharing tutorials. The sub-field of statistical NLP is responsible for several impressive advancements in the field of natural language processing, and it has the highest potential among competing approaches. However, in some cases, the contribution of rule-based classical natural language processing might be sought. Read More
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