โve just committed a comprehensive set of NLP projects and resources to my GitHub repository. This collection covers a wide range of NLP techniques and practical applications, perfect for anyone looking to dive deep into Natural Language Processing. Here's a sneak peek of what's inside:
๐ Projects and Code Examples:
15-Bag Of Words26-Word2vec_Practical.ipynb: Exploring fundamental NLP models. 27.2-Spam Ham Classification Project Using BOW And TFIDF And ML.ipynb: Classifying spam and ham emails using BOW and TFIDF. 28 And 29 -Spam Ham Projects Using Word2vec,AvgWord2vec.ipynb: Advanced spam classification with Word2vec. 30 and 31-Project 2- Kindle Review Sentiment Analysis.ipynb: Analyzing sentiments in Kindle reviews. ๐ Text Preprocessing Techniques:
4-Tokenization Example Using NLTK.ipynb 5-Stemming And Its Types- Text Preprocessing.ipynb 6-Lemmatization- Text Preprocessing.ipynb 7-Text Preprocessing-Stopwords With NLTK.ipynb 8-Parts Of Speech Tagging.ipynb 9-Named Entity Recognition.ipynb ๐ Bonus Resource: Lifecycle of NLP Projects (PDF): A detailed guide to the complete lifecycle of NLP projects, from data collection to model deployment.
Check out the repository here: GitHub Repository
I hope these resources help you in your NLP journey. Happy coding! ๐ปโจ
#NLP #MachineLearning #DataScience #GitHub #OpenSource #NaturalLanguageProcessing #AI