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authoredDec 18, 2017
Update README.md
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‎README.md

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@@ -10,12 +10,12 @@ I used [spaCy](https://spacy.io/) to tokenize and build my corpus.
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I used Latent Semantic Analysis (LSA) and KMeans clustering to generate my list of topics.
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There are six notebooks in my repository:
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1. Getting tweets
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2. Cleaning and sentiment analysis
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3. More cleaning
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4. Lemmatizing
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5. Topic Modeling using Latent Semantic Analysis
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6. Final Model using LSA and KMeans clustering
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1. [Getting tweets](https://github.com/ericchan24/airline_twitter/blob/master/notebooks/01.%20get_tweets.ipynb)
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2. [Cleaning and sentiment analysis](https://github.com/ericchan24/airline_twitter/blob/master/notebooks/02.%20cleaning_and_sentiment_analysis.ipynb)
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3. [More cleaning](https://github.com/ericchan24/airline_twitter/blob/master/notebooks/03.%20more_cleaning.ipynb)
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4. [Lemmatizing](https://github.com/ericchan24/airline_twitter/blob/master/notebooks/04.%20lemmatize.ipynb)
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5. [Topic Modeling using Latent Semantic Analysis](https://github.com/ericchan24/airline_twitter/blob/master/notebooks/05.%20topic_modeling_lsa.ipynb)
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6. [Final Model using LSA and KMeans clustering](https://github.com/ericchan24/airline_twitter/blob/master/notebooks/06.%20final_model.ipynb)
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2020
Here is a link to an interactive app that I made to summarize my project [Airline Tweets](https://airline-tweets.herokuapp.com/)
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Here is a link to my blog post about the project. [Blog Post](https://ericchan24.squarespace.com/blog/analyzingairlinetweets)

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