NLP For Uber Tweets.

The data should have at least 3,000 text documents and perform Unsupervised analysis using Rstudio with below methods:- o Sentiment Analysis (Lexicon) o Latent Semantic Analysis (LSA) o Topic Models The deliverable will include 4 components: 1. A written report that summarizes your key findings in a clear, concise manner to a business audience. o Describe how you chose your sample (Random? Convenience? Criteria-based?). o Describe your text variable. o Describe relevant non-text variables and include descriptive statistics and exploratory analysis. D. Analysis Results o Present your analysis findings in-depth. o Summarize why you chose your analysis method, the analysis itself (including any modeling decisions made) and the results. o Present internal or external validation measures and accompanying plots, as necessary. E. Discussion & Conclusion o Discuss the high-level findings of your analysis in words. o Conclude your report by drawing real-world connections to how your analysis can be used, with a focus on business implications. -The written report should guide the content of your presentation, but you should focus on the highlevel information and insights. 3. An R Script file (.R) with all (annotated/commented!) code used to conduct your analysis. 4. An RData file (.RData) containing all objects, functions, values and data used.