GRupal's repositories
Deeplearning.ai
Materials from deeplearning.ai course on Coursera
DeepLearning.ai-assignments
This repo consists of all the solved assignments in DeepLearning.ai course taught by Andrew Ng.
Find-DupQuora
Detecting duplicate questions on Quora
ISA-NLP-Lab
This repository keeps my works in course NLP lab.
kaggle-quora-question-pairs
Kaggle：Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)
Question-Answer-Selection
biLSTM/CNN based deep learning framework for Question Answer Selection.
quora-duplicate-question-pairs-detection
Determining whether two questions are asking the same thing can be challenging, as word choice and sentence structure can vary significantly. Traditional natural language processing techniques been found to have limited success in separating related question from duplicate questions. In this paper, we explore methods of determining semantic equivalence between pairs of questions using a dataset released by Quora. We explore different approaches involving using different classifiers with a rich feature set, a Siamese Neural Network which uses an LSTM, and an ensemble of the multiple approaches. Our ensemble model outperforms the classifier and Siamese models.
quora_duplication_detection
NLP project to detect if two questions on Quora are duplicated
Quora_question_pairs_NLP_Kaggle
Quora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training
QuoraDQBaseline
Baseline solution to Quora Duplicate Question dataset.
Sentiment-Analysis-On-Hindi-Reviews
We have used 250 sentences of movie reviews available for research from IIT bombay and also crawled and manually annotated 750 reviews from jagran.com, In total 1000 reviews. After preprocessing the dataset, We generate the featureset as a vector-based approach using Term frequency, tfidf for unigrams and bigrams. Then we used three approaches to predict the sentiment of a review. Approaches used are Resource based, In-language semantic analysis and Machine Translation based semantic analysis.
Text_Summarization_with_Tensorflow
Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.