Depression Sentiment Analysis for Twitter Post with Project Documentation

I'm web-scraping expert with 5 years of experience and i have 500+ finished projects (ecommerce, directory listing, etc...) I can export data into any format (csv, json) or database (mysql, mongo) I use python language and scrapy framework. I can scrape protected sites, and i can use IP rotations and bypass captcha. The price and time is not final, and I propose to discuss it. Message me!

I propose building the sentiment analysis system using R with a simple dashboard built using Shiny Relevant Skills and Experience I have experience performing natural language processing using R and am currently finalizing a similar project. Proposed Milestones ₱24444 PHP - On completion

we have done lot of work in sentiment analysis on twitter data , i can send u sample ppt Relevant Skills and Experience I have got this work ready with me :) Proposed Milestones ₱10000 PHP - pay me when 80% code is explained and delivered to you ₱12222 PHP - pay when we r done

I have working experience in developing Machine Learning application using Java, weka, spark and Hadoop. Relevant Skills and Experience I have working experience in developing Machine Learning application using Java, weka, spark and Hadoop. Proposed Milestones ₱22222 PHP - final

Hi Dear I have a lot experience in Data Analysis, Statistic,Business Intelligence,Data Mining, Machine Learning . I am Data Analysis Certified from spss , Python , R Analytics. Relevant Skills and Experience I have done all kind of Data Analysis like One way Annova, Two way Annova , T test (Paired, Unpaired), Regression (Linear, Multi linear ). I have command all kind of Machine Learning. Proposed Milestones ₱11111 PHP - Milestone

My approach would be as per below 1) get labelled Twitter data...Not sure if you have some labelled data on what is sad, depressive tweet (positive class) and normal one (negative)... Not sure if you want to have other classes 2) once this data is available, I will be parsing the text in each tweet removing stop words, unwanted characters and obtain "bag of words". I already have a parser program for this, may need some fine tuning for this project. 3) next step would be to do a word2vec transformation. most preferred one would be TFIDF , but can also try TF , binary and hashing vectorizers in Scikit 4) I have seen a lot of success with classifiers like SVM , NN and logistic regression in Scikit. I also have a tensorflow program for this. will be trying all of these 5) for fine tuning the model I will b doing k fold cross validation for hyper parameter tuning and then try to use it on test data. 6) once I get good results I will be writing a wrapper program for the model. we can run new tweets through this model to predict

Hi, We have already implemented the solutions for tweets/SMS/posts for our clients and can share Case Studies/documents for the same. Please connect to discuss on next steps. Thanks, Zhe Consulting Relevant Skills and Experience We have used NLP/Text Mining/Regression/ Clustering & tools like R/Python for development. Implemented the solution for multiple client. Can provide case studies/sample code/documents to for the same. Proposed Milestones ₱500 PHP - Business Requirement Gathering and client review ₱1000 PHP - Data base preparation ₱1000 PHP - Data cleaning and client review ₱5000 PHP - Modelling, client review and feedback incorporation ₱2000 PHP - Model Validation,client review, demo and feedback incorporation ₱500 PHP - Deployment, final delivery and Detailed Documentation Additional Services Offered ₱100 PHP - Apllication build in R shiny ₱100 PHP - Customer Segmentation ₱100 PHP - Market Basket Analysis ₱100 PHP - Churn/propensity modelling Hi, Please share the overall business objective, data base size, timelines for the project. Thanks

Read the attached document and found the idea really interesting. Social media generates a ton of data on user behavior through posts, tweets. Analyzing this data, their psychology can be predicted. Relevant Skills and Experience I have over a year of experience in core Machine Learning, Natural Language Processing & Python language. I have worked on Tensorflow Deep Learning library to deploy neural network models. Proposed Milestones ₱20000 PHP - Scrape & process Twitter data. Decide best sentiment analysis algo. Code the DL model in Tensorflow. Need to discuss with you what exactly the goal is. As its remote work, regular video calls is best.