Data Analyst Needed for Comprehensive Text Analysis

This project involves conducting a comprehensive linguistic analysis of speeches delivered by former US President Donald Trump. The goals are to quantitatively and qualitatively examine word usage patterns, topic modeling, sentiment analysis, n-gram exploration and more. Techniques such as word frequency counts, word clouds, bar plots, word embeddings and corpus linguistics will be implemented to study lexical elements. Topic modeling using LDA aims to uncover latent themes. Sentiment analysis gauges emotional undertones. TF-IDF and concordance analysis provide contextual word insights. Visualizations including bar graphs and word clouds communicate findings. Python/R programming and libraries such as NLTK/tidytext facilitate the technical aspects. An experienced data scientist is sought to methodically analyze the data, deftly apply appropriate methods, and cogently present discoveries. Strong qualifications include a demonstrated record in text mining, statistical computing, information visualization, and clear technical communication. The results will offer a rich linguistic profile of the speeches to inform researchers.