Top Natural Language Processing (NLP) Projects

Natural Language Processing (NLP) is a branch of AI that focuses on the interaction between human language and computers. It is an established and emerging field within Artificial Intelligence. NLP’s presence is evident in various domains, including voice assistants, sentiment analysis, language recognition, translation, spell correction, and autocomplete. The utilization of NLP in these areas highlights its significance and its ability to enhance user experiences and facilitate effective communication between humans and computers.

Top NLP Projects

Whether you are a beginner or a professional in software development or data science, finding NLP projects suitable for your learning needs can be challenging. Hence, we’ve curated a selection of top NLP projects that cater to both beginners and professionals, providing an excellent opportunity to acquire valuable hands-on experience in the field of NLP and strengthen your machine-learning skills.

Top NLP Projects

Let’s get started with the list of best NL 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. Sentence Autocomplete Using Transfer Learning
21. Next Sentence Prediction using BERT
22. Autocorrector Feature Using NLP In Python
23. Text Generation for Creative Writing Using Transformers
24. Parts-of_Speech Tagging using Hidden Markov Model
25. Named Entity Recognition using Conditional Random Fields
26. Part-Of-Speech Tagging using Neural network
27. Named Entity Recognition Using NLTK and Spacy
28. Named Entity Recognition Using Transformer
29. Image Caption Generator using Deep Learning on Flickr8K dataset
30. Image Caption Generation using the Avengers EndGames Characters
31. Autocorrect Feature Using NLTK In Python
32. Topic Modelling using PyTorch
33. Text Summarization for Document Analysis using Neural Network from Scratch
34. Text summarization using Transformers
35. Intent Recognition using TensorFlow
36. Build Chatbot Webapp with LangChain
37. Build a Virtual Assistants Chatbots for Hospital
38. Build a Virtual Assistants Chatbots for Hotel Reception
39. Convert Text to Speech in Python
40. Convert Speech to text and text to Speech
41. Machine Translation with Transformers
42. Hindi to English translation using RNN
43. Hindi to English translation using Transformers
44. Image Caption Generator using Deep Learning on Flickr8K dataset
45. Image Captioning using Transformer
46. Question Answering Chatbots Using Transformer
47. Text-to-Emoji generation using Transformers
48. Text-to-image generation using Transformers
49. Text-to-video generation using Transformers
50. Text-to-code Generation with Transformers
51. Music Generation Using RNN
52. Speech emotion Recognition using Transfer Learning
53. Convert Speech to text and text to Speech
54. Speech Recognition in Python using Google Speech API
55. 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.

Wrapping Up:

And there you have it! We hope you’ve been able to select an NLP project that piques your interest. Dive in, roll up your sleeves, and embark on honing your NLP skills! Engaging in the construction of the best NLP projects is undeniably the most effective approach to enhancing your proficiency in this domain and fortifying your curriculum vitae.

FAQs on NLP Projects

Q. How do I start an NLP project?

Here is the step-by-step guide to start your first NLP project

1. Choose a problem/task.
2. Gather relevant data.
3. Preprocess and clean data.
4. Extract features.
5. Select a model.
6. Train the model.
7. Evaluate model performance.
8. Fine-tune and optimize.
9. Deploy and test the model.

Q. How easy it is to implement these projects?

These projects are from basic to advance, someone with a good knowledge of NLP can easily manage to pick and finish any of these projects.

Q. What is the salary of an NLP fresher in India?

According to various resources, the Average Salary of an NLP Engineer is around ₹10.0 Lakhs per year in India.