tinageee

tinageee

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tinageee's repositories

SocialDataScrape_Visualization

Social Consulting Firm Take-Home Exercise Take-Home Exercise: Analyze NY crime news via web scraping, perform sentiment analysis, visualize trends, explore NYPD data, and discuss LLM components and implementation challenges.

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Image_preprocessing_Exercise

A short programming exercise for a startup company’s take-home challenge.

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interpersonal_interactions_network

This project constructs a social network from interpersonal interactions in group communications, focusing on analyzing sentiment dynamics influenced by collusive deception. It utilizes computational methods to model the effect of deceptive practices on group sentiment and interaction patterns.

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LLM_on_Sentiment_in_Group_Interaction

using ChatGPT to extract sentiment information from the group conversation, then use for further network analysis

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Interaction_group_discussion

Research focused on study the non-verbal behaviors of interactions during group discussions.

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Website_local_venues

A web platform akin to Yelp, but with a unique focus on invigorating local markets by promoting small and independent businesses.

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BasicMLmodel_fromScratch

This repository is dedicated to practicing basic machine learning models from scratch using Python. Here, you will find a collection of Python scripts and Jupyter notebooks that demonstrate the implementation of fundamental machine learning algorithms without relying on external libraries or frameworks.

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Non-Verbal-Behavior-Analysis-on-Resume-Discussion

Studied vocal and head post differences between deceivers and truth tellers in a mock recruiter review session. Findings contribute to deception detection research.

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Speech-Emotion-Matching---technical-tutorial

Train emotion recognizers and employ cosine distance to measure the similarity of five basic emotions in acoustic and linguistic modalities

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multiSyncPy

Functions for quantifying multivariate synchrony

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nlp-class

A Natural Language Processing course taught by Professor Ghassemi

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