gitlab.com / saeideh_ab
saeideh_ab/keras-review-classifier
sentiment analysis using keras and tensorflow
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saeideh_ab/naive-bayes-classifier
implementing naive bayes classifier from zero without using scikit-learn library
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saeideh_ab/spark-test
sentiment analysis using spark ml library. implemented classic ml models: SVM, Logistic Regression, Naive Bayes and Random Forest. implemented embedding: Word2Vec and TF-IDF. also ensemble and hybrid (ml and lexicon based) methods were implemented
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saeideh_ab/digikala-mobile-crawler
a crawler for crawling user comments about products in digikala.com (the largest Persian e-commerce website) using Scrapy library. each spider crawls different category.
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saeideh_ab/yapaitek-assessment
singapore PSI(Pollutant Standards Index) levels prediction
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saeideh_ab/knn-classifier
writing KNN classifier from zero, without scikit-learn. can use it for both classification and regression
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saeideh_ab/nlp_sentiment
implementing sentiment analysis using svm and lexicon based and hybrid methods. the crawler folder is the code for scraping comments in mobile.ir website. the goal of project is to determining the most popular mobile brand based on user's opinions.
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