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algs4

Algorithms, 4th edition textbook code and libraries

deep-learning-specialization

Deep learning specialization couse material of coursera

finalyearproject

Semantic analysis on hindi reviews

gensim

Topic Modelling for Humans

hello-dropwizard

hello-world

He this is about a project.

hotelmanagementsystem

In this project Management of rooms of hotel according to preferences in done.

leetcode-java-questions

mlnanodegree

Ml nanodegree program projects and solutions

practice

rajhack_hash_it_out

review-analysis-using-topic-modeling-and-sentiment-mining

In this project, latent dirichlet algorithm is applied on dataset of yelp reviews to extract topics that are most discussed by users to give better insight about business products. Linear regression is used to predict the biasedness of ratings and Sentiment analysis is also done to check the comparability of reviews with their ratings.

sampleapi

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.

sentinel

A powerful flow control component enabling reliability, resilience and monitoring for microservices. (面向云原生微服务的高可用流控防护组件)

spark-examples