Can Context Extraction replace Sentiment Analysis?

Most of the systems on the market will clock anywhere around 55-65% for unseen data, even though they might be 85% accurate in their cross-validations. At this juncture, it's important to realize that sentiment analysis is critical for any system monitoring customer reviews or social media posts. Hardly had the business world caught up with a sentence level sentiment analysis, we are now moving to aspect level sentiment analysis - more directed & granular, adding to the complexity. The question is this - can we do something to augment our sentiment analysis? For the past few months, I have been using context and relationship extraction to augment sentiment analysis.