Add to ORKGBusiness and financial news bring us the latest information about the stock market. Studies have shown that business and financial news have a strong correlation with future stock performance. Therefore, extracting sentiments and opinions from business and financial news is useful as it may assist in the stock price predictions. In this paper, we present a sentiment analyser for financial news articles using lexicon-based approach. We use polarity lexicon to identify the positive or negative polarity of each term in the corpus. We conducted two sets of experiment using non-stemming tokens and stemming tokens by considering individual word found in the newspaper. The preliminary results are presented and discussed in this paper
This article presents a methodology to classify the polarity of words from selected Tweets. Usually,...
User-generated data in blogs and social networks have recently become a valuable resource for sentim...
We investigated the pairing of a financial news article prediction system, AZFinText, with sentiment...
Business and financial news bring us the latest information about the stock market. Studies have sho...
Business and financial news are important resources that investors referred to w...
This paper describes a rule-based sentiment analysis algorithm for polarity classification of financ...
For as long as the stock market, financial news, and financial reports have been around, people have...
The increasing amount of sentiments disseminated by traditional and social media and their impact on...
Text is not unadulterated fact. A text can make you laugh or cry but can it also make you short sell...
In recent years, the area of sentiment analysis in text has become a focus of attention in the field...
AbstractIn this paper we describe our methodology to integrate domain-specific sentiment analysis in...
This article discusses polarity classification for financial news articles. The proposed Semantic Se...
Researchers are fascinated with predicting the stock market. Even though there is a large amount of ...
Semantic orientation, also known as sentiment analysis, is now expanding its research area due to it...
Part 17: Sentiment AnalysisInternational audienceSentiment analysis involving the identification of ...
This article presents a methodology to classify the polarity of words from selected Tweets. Usually,...
User-generated data in blogs and social networks have recently become a valuable resource for sentim...
We investigated the pairing of a financial news article prediction system, AZFinText, with sentiment...
Business and financial news bring us the latest information about the stock market. Studies have sho...
Business and financial news are important resources that investors referred to w...
This paper describes a rule-based sentiment analysis algorithm for polarity classification of financ...
For as long as the stock market, financial news, and financial reports have been around, people have...
The increasing amount of sentiments disseminated by traditional and social media and their impact on...
Text is not unadulterated fact. A text can make you laugh or cry but can it also make you short sell...
In recent years, the area of sentiment analysis in text has become a focus of attention in the field...
AbstractIn this paper we describe our methodology to integrate domain-specific sentiment analysis in...
This article discusses polarity classification for financial news articles. The proposed Semantic Se...
Researchers are fascinated with predicting the stock market. Even though there is a large amount of ...
Semantic orientation, also known as sentiment analysis, is now expanding its research area due to it...
Part 17: Sentiment AnalysisInternational audienceSentiment analysis involving the identification of ...
This article presents a methodology to classify the polarity of words from selected Tweets. Usually,...
User-generated data in blogs and social networks have recently become a valuable resource for sentim...
We investigated the pairing of a financial news article prediction system, AZFinText, with sentiment...