Nidhi Dhamnani
Nidhi Dhamnani
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AI-ML
Finding High Quality Content in Q/A Sites
Designed an algorithm to automatically identify high quality content from Q/A sites (Yahoo Answers).
Slides
Natural Disaster Phase Detection
Analysed the usage of twitter hashtags associated with the natural disaster to identify the different phases of the natural disaster.
Predicting Location of the Authors
Designed a link-prediction algorithm to predict the university of authors based on the location of co-authors, number of co-authored papers, most recent paper, and the areas of research of the authors.
Slides
Probablistic Language Models
Implemented unigram and trigram probablistic language models and provided a detailed comparative analysis of the same based on perplexity score and qualitative analysis.
Code
Retrieving Tweets Related to News Articles
Implemented an algorithm to rank tweets related to news articles by generating a query and rank based on Lucene’s Scoring function.
Slides
Search Engine for Documents
Created a full-stack search portal for institute senate meeting minutes which takes .pdf/.docx documents, automatically identifies the subsections and paragraphs in the document, and provides intelligent search on them using Elasticsearch backend.
Seq2Seq Mode
Implemented a sequence-to-sequence model to translate the text from one language to another. Compared the performance of various sampling strategies used for decoding text using BLEU score.
Code
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