[White Paper] The Truth About Sentiment & Natural Language Processing

By Charlotte | 

13 Apr 11 | 

Category: Case studies

Sentiment analysis is a topic that has been looked at repeatedly in the social media monitoring sphere, with some strong advocates of automatic sentiment analysis and other strong advocates of human analysis. Synthesio, that traditionally relies on human analysts but has the capacity to incorporate an automatic analysis, took a look at the pros and cons of text analytics and interviewed Seth Grimes, an expert in the field.

Analytical technology has been around for at least 30 years and is well-developed for the analysis of lengthy, homogenous texts. Recent improvements allow for finer sentiment analysis at the sentence level, but do not take into account :

- slang
- poor grammar
- missepellings
- often, foreign languages
- poor syntax
- puns
- etc.

Download the Synthesio white paper here or watch the MonitorChat video and let us know what you think.

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2 comments

2 Responses to “[White Paper] The Truth About Sentiment & Natural Language Processing”

  1. Jason mKey Says:

    I love this quote – “Automated sentiment analysis cannot understand sentiment in the context of your business goals”

    Thanks for putting this together.

  2. Anonymous Says:

    Thanks for stopping by, Jason, we’re glad you enjoyed the white paper

    Michelle @Synthesio

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