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TextAnalytics_NEC_All_Weeks_Solved
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--113julio 2023
- There are many possible ways to solve a problem and this is one way of solving the given problems. Please use the document for learning purpose only. Don't share the document, instead share the link to this advertisement. Report any errors found in the document and they will be fixed accordingly.
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$125.99 Más información
datascience24
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Examen
Text_Analytics_Week9_NEC_solved
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--4julio 20232022/2023A+Disponible en un paquete
- Create bar charts showing the most common words that appear in The War of the Worlds with these four words (affect, denounce, perish, soil) Show charts and your code with line by line comments.
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$10.99 Más información
datascience24
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Examen
TextAnalytics_Week14_NEC_solved
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-614abril 20232022/2023A+Disponible en un paquete
- Create a stacked bar chart of usenet message groups showing the number of messages in each group. Add some color to differentiate among the types (letters before the first period). Comment your code line by line. 
Clean the text and remove stop words. Show words by newsgroup. Apply tf-idf metric. Show stacked bar charts of word usage for 'sci' groups. Comment your code, line by line. Explore another news group in the same way. 
Do a pairwise correlation of words by newsgroups. Visualize the ...
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$10.99 Más información
datascience24
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Examen
Text_Analytics_Week13_NEC_Solved
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-319abril 20232022/2023A+Disponible en un paquete
- Create time series charts for each tweeter showing how word usage has changed over time. Show for three words. You may have to manipulate a parameter to show Comment your code, line by line. 
Show a graph for each tweeter revealing the ten words with the highest number of retweets. Comment your code, line by line.
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$10.99 Más información
datascience24
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Examen
Text_Analytics_Week12_NEC_Solved
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-313abril 20232022/2023A+Disponible en un paquete
- Using the attached files of around 3200 tweets per person, show a histogram (frequency distribution) of the tweets of both Dave and Julia. Use `UTC` to create the time stamp. Remember that the case of column headers matters. 
Make a dataframe of word frequency for each of Dave and Julia. Plot the frequencies against each other. Include a dividing line in red showing words nearby that are similar in frequency and words more distant which are shared less frequently. 
Create a stacked chart compa...
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$10.99 Más información
datascience24
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Examen
Text_Analytics_Week11_NEC_Solved
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-17abril 20232022/2023A+Disponible en un paquete
- 1.	Show stacked bar charts of the most common terms within each of 2 topics from the Associated Press articles in the topicmodels package. Color the charts by topic. Comment your code line by line. 
2.	Show a stacked bar chart showing the words that have a Beta greater than 1/1000 in at least one topic with the greatest difference in Beta between topic 1 and topic 2. comment each line of your code.
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$10.99 Más información
datascience24
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Examen
Text_Analytics_Week10_NEC_Solved
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-28abril 20232022/2023A+Disponible en un paquete
- Create a chart showing the words with the greatest contribution to positive or negative sentiment in the AP articles. Show all the code from the necessary packages untll you can produce the chart. Comment your code line by line. 
Create charts showing the terms with the highest tf-idf from each of four selected inaugural addresses. Eliminate the ? term. Show all the code from the necessary packages untll you can produce the chart. Comment your code line by line. 
Create charts showing over time...
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$10.99 Más información
datascience24
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Examen
Text_Analytics_Week8_NEC_Solved
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--9abril 20232022/2023A+Disponible en un paquete
- Create network graph of bigrams in a Wells' novels. Do not include stop words. Make the links darker the more common the bigram is. Use arrows at the end of the line toward the second word. Colorize the central node. Show a chart and your code with line by line comments. 
Create a count_bigrams function to reuse for counting bigrams in other texts. Comment your code line by line. 
Create a visualize_bigrams function to reuse for visualizing network graphs of other texts. Comment your code li...
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$10.99 Más información
datascience24
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Examen
Text_Analytics_Week7_NEC_Solved
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-110abril 20232022/2023A+Disponible en un paquete
- Find the most common bigrams in Wells' novels. Show a chart and your code with comments. 
Show tf-idf frequency in faceted graphs of Wells' novels. 
Determine how often the word 'not' precedes another word in Wells' novels. Show a table.
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$10.99 Más información
datascience24
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Examen
Text_Analytics_Week6_NEC_Solved
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-19abril 20232022/2023A+Disponible en un paquete
- •	Using the Jane Austen novels, show a term frequency distribution with a separate graph for each book. Comment your code line by line to show what it is doing. 
•	Examine Zipf's law for Jane Austen's novels. Create a single graph of rank v. term frequency using logarythmic scales. Comment your code line by line to show what it is doing. 
•	Compare Austen's novels to H.G. Wells to see if they similarly use a percentage of the most common words. Produce one graph for both authors. Use c...
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$10.99 Más información
datascience24