This repository will include the work and practise problems related to Social Media Analysis.
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Updated
Jun 26, 2018 - R
This repository will include the work and practise problems related to Social Media Analysis.
Assignment-11-Text-Mining-01-Elon-Musk, Perform sentimental analysis on the Elon-musk tweets (Exlon-musk.csv), Text Preprocessing: remove both the leading and the trailing characters, removes empty strings, because they are considered in Python as False, Joining the list into one string/text, Remove Twitter username handles from a given twitter …
This project uses Dialogflow Sentiment Analysis and makes the transition of conversation between the dialogflow agent to a human operator based on a negative sentiment score.
As a customer or a potential investor who lists properties on Airbnb, one would always be interested in determining the quality of the listing. The rating score is one of the indicators which every stakeholder looks forward to, in order to gauge this metric. It is often observed that this is not an accurate indicator.
Full stack web app leveraging millions of Twitter users to calculate consumer sentiment toward any product or brand.
A toolkit for estimating Chinese sentiment scores with multiple measures.
Sentiment analysis and forecasting on fast food restaurants using R and Shiny
Uso de algoritmos de mineração de textos para criação de wordcloud, pares de palavras, classificação binária e escore de sentimentos sobre romances e literatura de viagem.
Main goal is to determine which apps have highest sentiment score.
Add a description, image, and links to the sentiment-score topic page so that developers can more easily learn about it.
To associate your repository with the sentiment-score topic, visit your repo's landing page and select "manage topics."