Project Details
- Languages
- Python
- PySpark
- YAKE
- Service
- Sentiment Analysis
- Keyword Extraction
- Softwares
- Tableau
- Jupyter Notebook
- Spark
Description
The project presents a Sentiment Analysis of the Disneyland reviews of the different branches of the Disneylands including California, Hong Kong, and Paris. It visualizes a process through which PySpark was used for machine learning in regards to training the data and testing its sentiment output.
Additionally, through the use of the libraries such as StopWordsRemover and Tokenizer, accurate and sentiment-prone words were used to create a prediction. Furthermore, through this analysis the model was capable of predicting positive, neutral, and negative results with a 99.2% accuracy out of the total testing sample of 30,015.
Finally, through the use of YAKE, it was possible to extract the proper keywords which summarize the entirety of the reviews and give clues to positive sentiments.