Top Natural Language Processing (NLP) Projects

Natural Language Processing (NLP) is a growing field that combines computer science, linguistics and artificial intelligence to help machines understand and work with human language. It is used by many applications we use every day, like chatbots, voice assistants and translation tools. As the need for NLP experts increases, working on real-world NLP projects is a great way to build skills and knowledge. By getting hands-on experience with tasks like text analysis, language modeling and sentiment analysis, you can improve your understanding and prepare for a successful career in this exciting and fast-evolving field.

In this article, we will share some of the best NLP projects that will help you learn key skills, gain hands-on experience and build a strong portfolio for a career in Natural Language Processing. But before that, let us refresh our memories on what we mean by Natural Language Processing or NLP.

What is Natural Language Processing (NLP)?

Natural Language Processing (NLP) is the branch of Artificial Intelligence (AI) that gives the ability to machine understand and process human languages. Human languages can be in the form of text or audio format. NLP uses computational linguistics, which is the study of how language works and various models based on statistics, machine learning and deep learning.

Top NLP Projects

Let's get started with the list of best projects that can boost your resume and enhance your Natural Language Processing skills.

1. Amazon Product Reviews Sentiment Analysis in Python
2. Amazon Product Review Sentiment Analysis using RNN
3. Twitter Sentiment Analysis using Python
4. Sentiment Analysis with a Recurrent Neural Networks (RNN)
5. Sentiment Classification Using BERT
6. NLP Sentiment Analysis for US Election
7. Plagiarism Detection Using Python
8. Resume Parser using Python
9. Audio Data Preparation and Augmentation in Tensorflow
10. Emotion Detection using Bidirectional LSTM
11. Stock Price Prediction Project using TensorFlow
12. Time Series Forecasting using Recurrent Neural Networks (RNN) in TensorFlow
13. Time Series Forecasting using PyTorch
14. Language Detection using Python
15. Deploy a Chatbot using TensorFlow in Python
16. Text Generation using Fnet
17. Next Word Prediction with Deep Learning in NLP
18. Sentence Autocomplete Using Pytorch
19. Sentence Autocomplete Using TensorFlow from Scratch
20. Next Sentence Prediction using BERT
21. Autocorrector Feature Using NLP In Python
22. Named Entity Recognition Using NLTK and Spacy
23. Image Caption Generator using Deep Learning on Flickr8K dataset
24. Image Caption Generation using the Avengers EndGames Characters
25. Topic Modeling Using Latent Dirichlet Allocation (LDA)
26. Intent Recognition using TensorFlow
27. Convert Text to Speech in Python
28. Convert Speech to text and text to Speech
29. Machine Translation with Transformers
30. Music Generation Using RNN
31. Speech Emotion Recognition using Transfer Learning
32. Convert Speech to text and text to Speech
33. Speech Recognition in Python using Google Speech API
34. Automatic Speech Recognition using CTC

Importance of Building NLP Projects

NLP is a rapidly evolving field with immense potential for innovation. Through creating NLP projects, you can contribute to advancing the field, exploring new approaches and creating impactful solutions that benefit industries and society.

1. Practical Application: NLP projects enable the practical application of theoretical knowledge to real-world scenarios.
2. Skill Development: Building NLP projects offer an opportunity to develop skills in machine learning, natural language understanding, text processing, sentiment analysis and more.
3. Hands-on Experience: Creating NLP projects provide valuable hands-on experience with real data and the opportunity to tackle practical challenges.
4. Portfolio Enhancement: Building NLP projects allows you to showcase your capabilities and expertise in NLP, enhancing your portfolio.