Sentiment Analysis Jobs

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Hourly - Expert ($$$) - Est. Time: Less than 1 month, Less than 10 hrs/week - Posted
Hey there, We're looking for a technical writer to draft English whitepapers. These whitepapers will focus in the NLP, Text Analytics, and Sentiment Analysis fields. Experience with the aforementioned is required. Compensation will be competitive! Feel free to message me for more information. Cheers, Wilson
Skills: Sentiment analysis Natural language processing Technical writing
Hourly - Expert ($$$) - Est. Time: 3 to 6 months, 30+ hrs/week - Posted
I am looking for a freelance or company who has worked on sentiment analysis. we use python as primary programming. If you have worked into this kind of project please apply with reference we will like to see your sample work. Which should answer following question ? what problem you where solving ? What technology prefer to see code base in Jupiter notebook. what kind of modeling technique you have used for data mining and machine learning what kind of deployment have you done ? web or mobile ? Please apply with reference work. This is URGENT Requirement The below is our company website. www.
Skills: Sentiment analysis Data mining Data Science Deep Learning
Fixed-Price - Entry Level ($) - Est. Budget: $150 - Posted
Using or similar, we would like to be able to scan results from a news feed in real-time, displaying an overall negative/positive/neutral percentage for all results, the emotion associated with the article, highlighted negative/positive/neutral words that are color-coded, and if possible, display similar articles with sentiment analysis on the headlines. A nice to have would be the ability to include a chart that displays the positive/negative/neutral words for an article, maybe D3 or Google Charts? Mockups are available and CSS/SASS can be handled by us, we just need a developer to create the javascript, incorporate the APIs and provide raw html.
Skills: Sentiment analysis
Fixed-Price - Intermediate ($$) - Est. Budget: $250 - Posted
I need someone to run sentiment analysis for a couple of interview documents. the preferred method is Supervised learning model, which includes Pre-processing (data clean up), sentiment measurement from 3 lexicons (afinn from Finn Årup Nielsen; bing from Bing Liu, and nrc from Saif Mohammad and Peter Turney), machine learning algorith for specific model (SVM, naive bayes), and evaluation score. the document has 1,070,258 total words and 10,206 unique word forms.
Skills: Sentiment analysis Data mining Data Visualization R