Open abhisheks008 opened 2 years ago
Hi @abhisheks008 can i work on this issue ?
Full name : Harshini Marappan
GitHub Profile Link : https://github.com/HarshiniMarappan
Participant ID : 389
Approach for this Project : For initial text processing i would use nltk library . I would use Naive Bayes , Decision Tree and Support Vector Machines algorithms to compare the accuracies of the chatbot and find the best fit.
Are you a participant of SWOC 2.0? YES
Issue assigned to you @HarshiniMarappan
@abhisheks008 can you unassign this issue for me, apologies ππ
Yeah sure no worries @HarshiniMarappan
@abhisheks008 I don't understand what I have to do in this???.....can u explain?
You need to create a chatbot using the expressions given in the .json
file and also provide an user interface for the chatbot so that others can interact with it easily @yagyesh-bobde
I am not familiar with this .....Do you have like any resources where I can learn to do this?
Hi @abhisheks008 interested to work on this issue.
Full name : Aman Sayyad
GitHub Profile Link : https://github.com/amansayyad2003
Participant ID : NA
Approach for this Project : Steps I will follow
Are you a participant of SWOC 2.0? No (SSOC)
Hi @abhisheks008 interested to work on this issue.
Full name : Aman Sayyad
GitHub Profile Link : https://github.com/amansayyad2003
Participant ID : NA
Approach for this Project : Steps I will follow
- Understand different intents. If needed add more (while implementation)
- Data processing (gather data, data cleaning, spliting data into training and testing, label encoding)
- Feature extraction (TF-IDF vectorization, word Embeddings)
- Models (Support Vector Machines, Naive Bayes, Random Forest, if possible neural network )
- Comparision of different model
- Creating the UI for user interaction
Are you a participant of SWOC 2.0? No (SSOC)
Implement 5-6 models for this dataset.
Assigned @amansayyad2003
Thank you @abhisheks008 for assigning this task. I will give you regular updates on this.
ML-Crate Repository (Proposing new issue)
:red_circle: Project Title : Intention of Chatbots :red_circle: Aim : Tweak and expand the data with your observations to build and understand the working of a chatbot in organizations. A chatbot requires you to understand Natural language processing concepts. :red_circle: Dataset : https://github.com/katanaml/katana-assistant/blob/master/mlbackend/intents.json :red_circle: Approach : Try to use 3-4 algorithms to implement the models and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.
Hello, ML-Crate contributors, this issue is only for the contribution purposes and allocated only to the participants of SWOC 2.0 Open Source Program.
π Follow the Guidelines to Contribute in the Project :
requirements.txt
- This file will contain the required packages/libraries to run the project in other machines.Model
folder, theREADME.md
file must be filled up properly, with proper visualizations and conclusions.:red_circle::yellow_circle: Points to Note :
:white_check_mark: To be Mentioned while taking the issue :
Happy Contributing π
All the best. Enjoy your open source journey ahead. π