Seda Yeşilkaya's repositories
Natural-Language-Processing-for-Sentiment-Analysis-in-Mental-Health-Conversations
This project conducts sentiment analysis using natural language processing techniques in Python, leveraging NLTK, TextBlob, WordCloud, and sklearn libraries. Data sourced from the CounselChat platform is processed using Count Vectors and TF/IDF algorithms.
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TwitterSentimentAnalysis
This repository contains a project focused on performing sentiment analysis using data extracted from Twitter. The project aims to classify tweets based on their emotional content, leveraging various natural language processing (NLP) techniques and machine learning algorithms
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sedayesilyaka
Config files for my GitHub profile.
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