Visitors to urban greenspace have higher sentiment and lower negativity on Twitter
نویسندگان
چکیده
منابع مشابه
Detecting Events and Sentiment on Twitter for Improving Urban Mobility
The streams of tweets from and to the Twitter account of urban transport operators have been considered. A computational module has been designed and developed in order to collect tweets and, on the fly, analyze them to detect some relevant event (e.g. accidents, sudden traffic jams, service interruption, etc.) and/or evaluate possible sentiments and opinions about the quality of service. Event...
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With the rise of social networking epoch, there has been a surge of user generated content. Microblogging sites have millions of people sharing their thoughts daily because of its characteristic short and simple manner of expression. We propose and investigate a paradigm to mine the sentiment from a popular real-time microblogging service, Twitter, where users post real time reactions to and op...
متن کاملErratum: Sentiment Characterization of an Urban Environment via Twitter
We propose a statistical study of sentiment produced in an urban environment by collecting tweets submitted in a certain timeframe. Each tweet was processed using our own sentiment classifier and assigned either a positive or a negative label. By calculating the average mood, we were able to run a Mann-Withney’s U test to evaluate differences in the calculated mood per day of week. We found tha...
متن کاملSentiment Analysis on Twitter Data
Sentiment analysis is a type of natural language processing for tracking the mood of the public about a particular product or topic. Sentiment analysis, which is also called opinion mining, involves in building a system to collect and examine opinions about the product made in blog posts, comments, reviews or tweets. Sentiment analysis can be useful in several ways. In fact, it has spread from ...
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ژورنال
عنوان ژورنال: People and Nature
سال: 2019
ISSN: 2575-8314,2575-8314
DOI: 10.1002/pan3.10045