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pranitM23pgai/Twitter_data_analysis_for_golden_globe_awards
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NLP_Assignment_1_ ___________________________________________________________________________________________________________________________________________________________ Please refer to the points stated herein below which may help to understand as to how I have approached the project and done the work accordingly; 1. Kindly note that I have mentioned the libraries required to run my code. 2. I imported the json file. After importing same I have used the python package "NLTK" for tokenization. 3. I have also used the python library - Spacy for sentence segmentation. 4. I have used the libraries stated herein below: >regular expression >requests >pandas >numpy >nltk >BeautifulSoup >punkt module of nltk >spacy 5. As per requirements of the project, I have done reasonable job to identify the below sgtated components: >Host >Award Names >Award Categories >Presenters >Winners mapped to Awards >For all the nominees, I was able to get generic list. >Many of the mini series actors-actress names are not there in IMDB. Thus I was not able to scrape the same and mention herein the assignment. 6. At this juncture, it is noteworthy that the count numbers mentioned against output refers to the highest frequency of the output. 7. Considering all the requirements of the assignment project I have contributed to reach the goal to fulfill requirements of the project as stated in the instructions PDF. 8. For certain categories, I have considered retIetes as not many has tIeted about those categories. Kindly refer to the file containing code attached here with and run the code and oblige. Please do let us know if any further clarification is required through an e-mail registered. pranitmalik05@gmail.com This assignment work is performed in compliance with all the ethical requirements. Thank you.
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