Comments (12)
This issue will be assigned to you once the program starts. Otherwise your contribution will not be counted as a participation in SSOC 2022. See you in the program @vaniseth.
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I would like contribute on this issue. Please assign this to me.
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Issue assigned to you @CodeFlyAir
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Issue assigned to you @deeptiii13. Go ahead!
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I would like to work on this. Please assign this to me.
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@CodeFlyAir updates please.
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Updates please @CodeFlyAir
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Hey, I would like to work on this issue.
Full name : Deepti Chhabra
GitHub Profile Link : https://github.com/deeptiii13
Email ID : [email protected]
Approach for this Project : Extracting the features using TF-IDF and training different classification models (Logistic Regression, SVM, LDA, Naive Bayes) in order to find the best fit model.
What is your participant role? SWOC 3.0
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Hey, I would like to work on this issue.
Full name : Ayan Joshi
GitHub Profile Link : https://github.com/ayan-joshi
Email ID : [email protected]
Approach for this Project : First I will train the model with basic method then to improve accuracy I will try with different algorithm such as Logistic Regression, SVM , naives,
What is your participant role? SSOC
Please assign me this issue @abhisheks008
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You need to work on deep learning models as the project repository demands projects based on deep learning concepts. Also you have assigned to an issue, first complete that then only you will be able to work on another issue here.
@ayan-joshi
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Full name : Om Achrekar
GitHub Profile Link : https://github.com/achrekarom12
Email ID : [email protected]
Participant ID (if applicable):
Approach for this Project : I will use four techniques for sentiment analysis which are VADER, Simple Neural Network, Convolutional Neural Network and LSTM. This will give us a good comparison between iMDB reviews. I will also try to visualise the data in good way as there are only two columns.
I would like to work on this issue if its not assigned to anyone.
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Issue assigned to you @achrekarom12
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