A New York-based social media consultancy, is looking for a freelancer to complete a text analysis assignment.
Specifically, we are looking for a Spanish-speaking freelance analyst to complete sentiment, emotion and intensity analysis on a set of Spanish social media data. Details of the task:
-Data will be delivered in an Excel sheet. I will send the sheet once the job offer is accepted.
-Each row of the sheet contains the text from a social media post.
-For each post, the analyst will decide what the sentiment, emotion and intensity are and select the appropriate value from the drop-down menus in the columns titled “Sentiment,” “Emotion,” and “Intensity.” Take the following text content as an example:
"I love drinking San Miguel more than any other beer!"
Sentiment: positive (because the author of the post is writing with a positive tone.)
Emotion: joy (because the author of the post is writing with a joyful tone.)
Intensity: high (because the author of the post is expressing their feelings strongly/emphatically.)
-Before beginning the task, the analyst will be expected to read and comprehend a how-to guide for tagging text data with sentiment, emotion and intensity values, which is attached here (it is called “How to Code Sentiment, Emotion & Intensity_For Freelancers-10-13-2016.docx”)
-The analyst must select the best answer they can from the set of available options. If the sentiment or intensity values do not match the tone of the post, then the analyst must pick the values they think are best. For emotion, the analyst may select "other" if the tone of the post does not match the available emotions in the drop-down menu.
-If the analyst expects to go over the allotted amount of time, they should let me know in advance.