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


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


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.

Квалификация: Исследования, Research Writing, SPSS Statistics, Статистический анализ, Статистика

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( 5 отзыв(-а, -ов) ) New Jersey, United States

ID проекта: #19351907



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