Questions tagged [sentiment-analysis]

Sentiment Analysis (SA) aims to determine the attitude of a speaker or a writer with respect to some topic or the overall contextual polarity of a document. It aims to identify and extract subjective information in source materials.

Sentiment analysis (sometimes known as opinion mining or emotion AI) refers to the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. Sentiment analysis is widely applied to voice of the customer materials such as reviews and survey responses, online and social media, and healthcare materials for applications that range from marketing to customer service to clinical medicine.

Generally speaking, sentiment analysis aims to determine the attitude of a speaker, writer, or other subject with respect to some topic or the overall contextual polarity or emotional reaction to a document, interaction, or event. The attitude may be a judgment or evaluation (see appraisal theory), affective state (that is to say, the emotional state of the author or speaker), or the intended emotional communication (that is to say, the emotional effect intended by the author or interlocutor).

Sentiment analysis is the measurement of positive and negative language.

It is a way to evaluate written or spoken language to determine if the expression is favorable, unfavorable, or neutral, and to what degree.

Typical algorithm-based sentiment analysis tools can handle huge volumes of data (ex. customer feedback) consistently and accurately. When paired with text analytics, sentiment analysis can reveals the customer’s opinions on a range and variety of topics.

Sentiment analysis is a type of data mining that measures the inclination of people’s opinions through natural language processing (NLP), computational linguistics and text analysis, which are used to extract and analyze subjective information from the Web - mostly social media and similar sources. The analyzed data quantifies the general public's sentiments or reactions toward certain products, people or ideas and reveal the contextual polarity of the information.

Sentiment analysis is also known as opinion mining.

Wikipedia Entry
What is Sentiment Analysis?
Introduction to Sentiment Analysis (PDF)
What is Sentiment Analysis? - Definition from Techopedia

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How to correctly interpret the format of the German Polarity Clues data set?

I am trying to build a sentiment analysis proof of concept, and am hitting the wall of getting my data. I found the "German Polarity Clues" dataset, but i can't quite make sense of the data format, can someone help me? I need to make sense of the…
kutschkem
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Source of aggressively toned texts for machine learning

As suggested in comment on data science SA I reposted the question to this site, which seems a better fit for this type of question. I was looking for a source where there would be an extended amount of texts with aggressive tone. It can be…
Ev0oD
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Movie review blog posts with view count, likes etc

I started doing a research project for my final year and I need to analyze blog posts and extract common patterns from them. For that I need blog post data where I can get the content with number of views, likes, comments, social media shares and…
CDR
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Need some domain knowledge

I am looking for some BD (Business Development) help. I am building a product that does sentiment analysis. I want to know which domains in the internet space (for which there are online/offline "reviews" from users available) I can cater my…
Keeth
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