What are the common challenges with which sentiment analysis deals? What are the most popular application areas for sentiment analysis? Why?

 

What are the common challenges with which sentiment analysis deals? What are the most popular application areas for sentiment analysis? Why?

Sentiment analysis is when opinions or feelings depicted in opinioned information are detected and categorized to ascertain whether the attitude is negative, neutral, or positive. There are several sentiment analysis challenges which include inadequate accuracy (Mohammad, 2017). For accurate and actionable data to be completed from a text, it is critical to detect its elements individually and comprehend how they work jointly to offer the entire opinion (Mohammad, 2017). Also, another challenge is the failure or providing aspects essential to understanding the whole text of a given piece since the processing of primary words detects only the sentiments depicted in a particular word (Mohammad, 2017). Another challenge that sentiment analysis deals with is the lack of explanation as to why an event happened.

Several sentiment analysis applications include analyzing products, market research, and the employee's voice. In the employee's voice, sentiment analysis is used to assess employee surveys and evaluate their emails, reviews, and slack texts. The software enables the management to assess opinions or the workers subjectively without involving humans. Also, a company can analyze their products through sentient analysis by finding out what the consumers are saying about new goods after they have been introduced to the market (Ziora, 2016). So, using sentiment analysis, the management can search main works for certain product traits to get the data they need.

Sentiment analysis offers excellent results than professions or experts since AI doesn't modify outcomes and is not subjective (Ziora, 2016). Nother application of sentiment analysis is researching the market and competitors. A company can find which company is top-notch among the competitors, enabling them to compare their efforts. Sentiment analysis allows businesses to assess the content of competitors to identify what works with the consumers that they may not have used (Ziora, 2016). Besides, the software allows a firm to comprehend its weaknesses and strengths and how they connect to the competitors. Therefore, the data analysis tool is essential in any business as it helps understand consumers and take advantage of crucial views of the public. Besides, it offers insight into the way consumers feel and also detect shifts in opinions towards a brand.