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Conclusion

1. Conclusion

Hello for the last time - and well done! You have completed the introduction course on natural language processing in R.

2. Course recap

From regular expressions to word embeddings, we have just covered a wide variety of text analysis techniques. We learned how prepare your data for analysis, and which data format was appropriate for the task at hand. We learned about the most common text analysis techniques out there - including sentiment analysis, text classification, and topic modeling

3. Recap continued

Even as a fundamentals course, we learned about some of the most state-of-the-art techniques available today, such as word embeddings and BERT and ERNIE. As for next steps, I suggest that you simply go and practice. The techniques used for natural language processing have improved and changed dramatically over the last few years, but the basics, are the basics. Text classification may be completed using BERT and a lot of feature engineering, but at the end of the day it is still text classification.

4. Course complete!

And with that, we end the introduction to natural language processing in R course. Well done!