Sentiment Analysis
Alterian SM2 utilizes a proprietary set of technologies including word parsing, weighting, proximity and Natural Language Processing to enable the most accurate and customizable sentiment analysis. It also allows you to develop and define customizable dictionaries, manually review and override sentiment, conduct mining in C# script and select multiple language sentiment. SM2 analyzes sentiment in 20 languages and includes analysis of emoticons.
The SM2 user interface provides multiple levels of sentiment analysis:
- Brand Reference- Analyzes the words in the post that are referring to your search terms for positive and negative references.
- Content Tone- Measures on the tone of the complete content. This measures the amount of positive and negative emotion not just around a brand but around the complete post.
- Emotion- Analyzes the words that are being used and match those typical words used when expressing the 16 standard human emotions.
