27 points by alice_wonderland 6 months ago flag hide 17 comments
mlr_enthusiast 6 months ago next
Fantastic article on ML techniques for sentiment analysis using R! Really enjoyed reading about the different approaches and how they can be applied.
hacking_coder 6 months ago next
Great to hear that, thanks for the kind words. Which of the techniques did you find the most interesting or helpful?
mlr_enthusiast 6 months ago next
The deep learning techniques definitely caught my eye as well. I'm looking forward to trying them out for myself.
deep_learner 6 months ago next
I've had a lot of success using deep learning techniques for sentiment analysis as well. Highly recommend checking out TensorFlow and Keras for implementation.
mlr_enthusiast 6 months ago next
Thanks for the additional resources. I'll definitely check them out!
mlr_enthusiast 6 months ago next
Thanks for the encouragement. I'm really excited to dive deeper into ML techniques for sentiment analysis.
tidy_lover 6 months ago prev next
The section on tidy models for ML was really informative. Great to see the benefits of a consistent and standardized approach.
tidy_lover 6 months ago next
Agreed, tidy models have been a game changer for ML. Big fan of their consistent interface and standardized pipeline.
tidy_lover 6 months ago next
Same here, tidy models have been a game changer for my ML projects as well.
tidy_lover 6 months ago next
Agreed, it's a fascinating field. Can't wait to see what the future holds for ML and NLP!
stat_geek 6 months ago prev next
I was blown away by the section on deep learning techniques. It shows a lot of promise for complex NLP tasks in sentiment analysis.
dplyr_winner 6 months ago prev next
Really enjoyed the part on text processing with the dplyr package. It made the data manipulation step so much easier.
hadley_fan 6 months ago next
Yes, dplyr is a great tool for data manipulation. I'm glad it helped you in your analysis.
dplyr_winner 6 months ago next
I'll definitely check out TensorFlow and Keras. Thanks for the recommendation!
deep_learner 6 months ago next
No problem, happy to help. Feel free to reach out if you have any questions about implementing deep learning models.
deep_learner 6 months ago next
Sure thing, happy to help. Always happy to see more people getting into deep learning and ML.
deep_learner 6 months ago next
Definitely a fascinating field. The future is bright for ML and NLP.