Closed mv1249 closed 3 years ago
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Can you elaborate your issue more in words? And follow the issue template given to know you as devincept participant and add the details according to your project. @mv1249
Define You:
I am Meet Vaddoriya
I'm a DevIncept Participant
I would like to contribute my work on WebScraping and Sentiment Analysis,here is the overview of the project
Goal is to perform sentiment analysis on the latest stock market news.
→Scraping data related to stock markets from financial websites like yahoo finance/google news and many more.
→After Scraping textual data,we need to summarize the textual data so that the user can get the news in short,so for summarizing the text i have used Deeplearning model to summarize the text
→After textsummarization i have made sentiment analysis on the summarized text,so that the user can get an idea about which is a positive sentimented news and which is not.
→All the results are then exported to a CSV,which a user can filter and get to know the news about the situation in the market
This is not a part of any exsisting project,this is a new project,on which i would like to contribute.
You can keep your project title as "Crypto Research and Stocks Automation Analysis". Issue assigned. @mv1249
@prathimacode-hub I would love to contribute mam as a part of hacktoberfest2021. Can you assign this to me?
Issue assigned to @tanvideshmukh29
Define You:
I am Meet Vaddoriya
I'm a DevIncept Participant
I would like to contribute my work on WebScraping and Sentiment Analysis,here is the overview of the project
Project Outcome
Goal is to perform sentiment analysis on the latest stock market news.
Steps Undertaken to Achieve the Goal
→Scraping data related to stock markets from financial websites like yahoo finance/google news and many more.
→After Scraping textual data,we need to summarize the textual data so that the user can get the news in short,so for summarizing the text i have used Deeplearning model to summarize the text
→After textsummarization i have made sentiment analysis on the summarized text,so that the user can get an idea about which is a positive sentimented news and which is not.
→All the results are then exported to a CSV,which a user can filter and get to know the news about the situation in the market
This is not a part of any exsisting project,this is a new project,on which i would like to contribute.