Text sentiment analysis and Recommendation system
Budget: $40 – $150 USD
Introduction: :
This project contains two parts of a big project. Text sentiment analysis and Recommendation system. I have described this project very deeply. Don’t be scared with big documentation.?
For the first part: systems have to take input from users about their current situation (current emotion ). And It have to identify the emotion of the user's current situation.
Example: I lost the job -> sadness
For the second part A: systems have allowed users to upload their life moments with description (image or video with description). And the system has to identify the emotion of the description. Thereafter, It has to store all the details on google drive. Also, users have an option to input a motivational quote, you can assign emotion of the motivational quote as emotion: motivation.
Example: Birthday party -> Happiness
Photo of prize giving ceremony -> motivation
Motivational Quotes -> motivation
Process : Get input -> analysis the description -> store all the details to the google drive
For the second part B: systems have to recommend a moment from their stored memories based on First part : user's current emotion. Also can recommend motivational quotes from their collection.
Example: current emotion is sadness-> recommend a birthday party video
current emotion is loneliness-> family photos or college photos
current emotion is less motivated-> recommend achievement photos or quotes.
Process : Recommend a best memory or motivational quote for overcoming the current situation based on the user's current emotion from their memories collection.
Note:
Emotions for the first part: happiness, love, anger, fear, sadness, less motivated, loneliness
Emotions for the Second part: happiness, motivation
In First part-. the user can input only one current situation at once.
In the second part A- users can upload a moment once at a time that can be a video or photo with description or motivational quote without description.
In the second part B - system has to recommend one of the best matches of the user’s memory among their memories collection.
You have to put in all the required comments.
You can make any assumption based on this idea.
Technologies:
This project has two use two technologies
NLP text sentiment analysis
Recommendation
Development has to be done in Pandas. And for the text sentiment analysis I recommend SpaCy library, and for the recommendation I recommend the YouTube recommendation algorithm. And development has to be done in google-colabs using pandas (python).
Dataset : You can use an existing data set or create one for the requirements
I have attached full details briefly in Google Docs.
https://docs.google.com/document/d/10Za3wWfVq50UNxntvMomNgSdTBQSLApVlV9vi_DiKAk/edit
This project contains two parts of a big project. Text sentiment analysis and Recommendation system. I have described this project very deeply. Don’t be scared with big documentation.?
For the first part: systems have to take input from users about their current situation (current emotion ). And It have to identify the emotion of the user's current situation.
Example: I lost the job -> sadness
For the second part A: systems have allowed users to upload their life moments with description (image or video with description). And the system has to identify the emotion of the description. Thereafter, It has to store all the details on google drive. Also, users have an option to input a motivational quote, you can assign emotion of the motivational quote as emotion: motivation.
Example: Birthday party -> Happiness
Photo of prize giving ceremony -> motivation
Motivational Quotes -> motivation
Process : Get input -> analysis the description -> store all the details to the google drive
For the second part B: systems have to recommend a moment from their stored memories based on First part : user's current emotion. Also can recommend motivational quotes from their collection.
Example: current emotion is sadness-> recommend a birthday party video
current emotion is loneliness-> family photos or college photos
current emotion is less motivated-> recommend achievement photos or quotes.
Process : Recommend a best memory or motivational quote for overcoming the current situation based on the user's current emotion from their memories collection.
Note:
Emotions for the first part: happiness, love, anger, fear, sadness, less motivated, loneliness
Emotions for the Second part: happiness, motivation
In First part-. the user can input only one current situation at once.
In the second part A- users can upload a moment once at a time that can be a video or photo with description or motivational quote without description.
In the second part B - system has to recommend one of the best matches of the user’s memory among their memories collection.
You have to put in all the required comments.
You can make any assumption based on this idea.
Technologies:
This project has two use two technologies
NLP text sentiment analysis
Recommendation
Development has to be done in Pandas. And for the text sentiment analysis I recommend SpaCy library, and for the recommendation I recommend the YouTube recommendation algorithm. And development has to be done in google-colabs using pandas (python).
Dataset : You can use an existing data set or create one for the requirements
I have attached full details briefly in Google Docs.
https://docs.google.com/document/d/10Za3wWfVq50UNxntvMomNgSdTBQSLApVlV9vi_DiKAk/edit