Sentiment Analysis with the Google Prediction API and EmoSenticNet
نویسندگان
چکیده
Online recommender systems are useful for media asset management where they select the best content from a set of media assets. We have developed an architecture for 360-MAMSelect, a recommender system for educational video content. 360MAM-Select will utilise sentiment analysis and gamification techniques for the recommendation of media assets. 360-MAMSelect will increase user participation with digital content through improved video recommendations. Here, we discuss the architecture of 360-MAM-Select and the use of the Google Prediction API and EmoSenticNet for 360-MAM-Affect, 360MAM-Select's sentiment analysis module. Results from testing two models for sentiment analysis, SentimentClassifer (Google Prediction API) and EmoSenticNetClassifer (Google Prediction API + EmoSenticNet) are promising. Future work includes the implementation and testing of 360-MAM-Select on video data from YouTube EDU and Head Squeeze.
منابع مشابه
Analysing Emotional Sentiment in People's YouTube Channel Comments
Online recommender systems are useful for media asset management where they select the best content from a set of media assets. We are developing a recommender system called 360-MAM-Select for educational video content. 360-MAM-Select utilises sentiment analysis, emotion modeling and gamification techniques applied to people’s comments on videos, for the recommendation of media assets. Here, we...
متن کاملLSIS at SemEval-2016 Task 7: Using Web Search Engines for English and Arabic Unsupervised Sentiment Intensity Prediction
In this paper, we present our contribution in SemEval2016 task71: Determining Sentiment Intensity of English and Arabic Phrases, where we use web search engines for English and Arabic unsupervised sentiment intensity prediction. Our work is based, first, on a group of classic sentiment lexicons (e.g. Sentiment140 Lexicon, SentiWordNet). Second, on web search engines’ ability to find the cooccur...
متن کاملPredicting Financial Markets: Comparing Survey,News, Twitter and Search Engine Data
Financial market prediction on the basis of online sentiment tracking has drawn a lot of attention recently. However, most results in this emerging domain rely on a unique, particular combination of data sets and sentiment tracking tools. This makes it difficult to disambiguate measurement and instrument effects from factors that are actually involved in the apparent relation between online sen...
متن کاملSentiment analysis methods in Sentiment analysis methods in Persian text: A survey
With the explosive growth of social media such as Twitter, reviews on e-commerce website, and comments on news websites, individuals and organizations are increasingly using opinions in these media for their decision making. Sentiment analysis is one of the techniques used to analyze userschr('39') opinions in recent years. Persian language has specific features and thereby requires unique meth...
متن کاملA Supervised Method for Constructing Sentiment Lexicon in Persian Language
Due to the increasing growth of digital content on the internet and social media, sentiment analysis problem is one of the emerging fields. This problem deals with information extraction and knowledge discovery from textual data using natural language processing has attracted the attention of many researchers. Construction of sentiment lexicon as a valuable language resource is a one of the imp...
متن کامل