Tech Projects and Demos
Demos and source code related to NLP, Data Science and Machine Learning.
Looking for my free online tools (JSON, YAML, CSV, Base64, URL encoder, JWT)?Developer Tools ↗
Data Science, Natural Language Processing (NLP) Projects
These use Machine Learning, Deep Learning, Data Science knowledge and are connected to the Natural Language Processing (NLP) topics in some way. Most techniques are transferable to other topics as Deep Learning, Machine Learning techniques can be applied across different topics.
I have divided the projects into
- Data Science Projects - Involving usage of Python, R. Many of these are related to NLP.
- Core NLP Projects - Java based for core NLP topics
Note: The tables are searchable by words and columns can be sorted by clicking on the column names
Data Science Projects
| Data Science, Deep Learning, NLP | Deep Learning based Spam Filter on Enron+ Spam Assassin public dataset and comparison with SVM, Random Forest, Xgboost models | Topics: Deep Learning, NLP, Machine Learning, TF-IDF, Random Forest, Xgboost, SVM Development: Python, Tensorflow, Numpy, Pandas, Scikit | 2017 | |
| Data Science, Deep Learning, NLP | Semantic Role Labeling (SRL) system using Deep Learning - Bidirectional LSTM network in Paddle Framework | Topics: NLP, Deep Learning Development: Python, Paddle, Numpy, Scikit | 2017 | |
| Unsupervised Clustering for text | Implementations of few clustering algorithms for text and some tests on subset of dataset of Wikipedia pages.
| Topics: Machine Learning, K-means, Kmeans++, Nearest Neighbour Search, LDA Development: Python, Numpy, Graphlab | 2017 | |
| NLP, Machine Learning | Semantic Role Labeling (SRL) system using Machine Learning - Pipeline of multiple logistic regression models. Also trainable models for Part of speech, Dependency Parsing | Topics: NLP, Machine Learning Development: Java, LibLinear, Play Framework, Docker, Web Services | 2016 | |
| Deep Learning | Neural Network implemented from scratch | Topics: Deep Learning Development: Python, Numpy, Pandas, Scikit | 2017 | |
| Data Science | Projects and tasks related to The Data Scientist's Toolbox | Topics: Predictive analytics, Reproducible research, Statistical Inference Development: R | 2015 | |
| Data Science | Compound interest calculator made using R and Shiny, Web Application Framework for R. | Topics: Data Products, R Application Development: R, Shiny | 2015 |
Core Natural Language Processing (NLP) Related
At broader level i have worked on following topics:
I have worked on core topics in NLP:
- Syntactic and Semantic Analysis using Syntactic Parse Trees, Dependency Parsing, Linguistic Knowledge
- Relation Extraction, Semantic Role Labeling
- Named Entities Recognition (NER), Knowledge Graphs, Ontologies
- Discourse analysis at Sentence, Paragraph, Document Level for text
- Question Answering, Question Generation, Natural Language Generation (NLG)
| NLP Core | Various Modules from NLP Pipeline | Topics: NLP, Syntax Trees, Named Entities Recognition (NER), Discourse Analysis, Linguistics, Wordnet Development: Java | 2016 | |
| Grammar Analysis | Grammar Analysis of English Sentences using Syntactic Rules based on English Grammar. The System is designed to be generic using only standard english grammar rules. | Topics: NLP, Syntax Trees, Named Entities Recognition (NER), Discourse Analysis, Linguistics, Wordnet Development: Java | 2016 | |
| Google Chrome Extension | Text Analyzer Extension can provide grammatical and semantic information for the selected text in English directly in Google chrome browser | Topics: Google Chrome Extension Development: Javascript, Ajax, Html | 2015 | |
| Gate Plugins | Creating plugin for Gate. | Topics: NLP, Information Extraction Development: Javascript, Ajax, Html | 2014 | |
| NLP Pipeline | Information Extraction System can perform NLP tasks like Named Entity Recognition, Sentence Simplification, Relation Extraction etc. | Topics: NLP, Information Extraction Development: Javascript, Ajax, Html | 2013 |