Here is a list of sentiment analytics tools, brands can use to boost their business!

The internet is flooded with numerous opinions, reviews, suggestions, making brands need a way to categorize them into the good, the bad, the ugly, the emergency and the neutral sections. To prioritize whom to respond to first, and understand how the consumers feel about certain services or products. For this, businesses need the right metrics to understand why customers react positively or negatively with their brand. Hence, brands are paying more attention to sentiment analysis, which basically uses AI and machine learning to study customer feedback.

Social listening is the new trend that businesses are rapidly leveraging!

Sentiment analytics tools help in measuring the brand health by analyzing KPIs like brand awareness, brand reputation, and brand's share of voice. It also includes customer satisfaction levels and the opinions potential customers have on the company. These tools compound the data and display cumulative brand sentiment across a range of inputs in charts and graphs so that the businesses can monitor relevant trends without having to go through each post. It further helps in generating leads, testing business KPIs, and researching product decisions. The benefits of sentiment analysis include: improving customer experience, preventing a reputation crisis, monitoring keywords, and brand messaging. Basically, it helps to turn bad customer experience into a positive one.

To unlock the huge values modern brands, have into in-personal communication, Analytics Insight presents the top 10 tools for Sentiment Analysis:

Awario: It is a web-based social listening tool, with sentiment analysis being only a part of its vast capabilities. It provides access to sentiment analysis as soon as users log into the tool. One can set Awario to gather online data by putting in the keywords one wishes to monitor. It covers all major social media networks, news, blogs, forums, and the web. The in-built sentiment analysis feature – available in all plans – sorts brand mentions into positive, negative, and neutral.

Digimind: This sentiment analytics tool helps brands closely monitor their social media presence by identifying and analyzing all the relevant conversations about themselves and their competitors. It pulls information from more than 850 million web sources, so the company gets a comprehensive view of sentiment towards its brand. Further, this tool helps to analyze mentions and applies filters to customize a brand's sentiment analysis process.

Hootsuite Insight:  It automatically analyzes all social media platforms (Facebook, Twitter, Linkedin Instagram), news sites, forums, and blogs to reveal insights that include influencers, stories, trends, and sentiment. Its messaging feature allows team members to send private messages to each other, generally does not ask password to social media users. Hootsuite can also delegate customer messages to different team members, and these can be managed overall by an administrator.

IBM Watson Tone Analyzer: Backed by the exceptional AI infrastructure by IBM Watson, Tone Analyzer examines online emotions and "tones" in what user's post, from Tweets to reviews to random social media. It has a particular focus on customer service and support, which is its greatest strength. Tone Analyzer reports on support conversations to monitor whether phone agents are polite and helpful and whether they truly answered the questions. Plus, it also analyses what was the mood of the caller? Were they satisfied?

Lexalytics: It is a business intelligence solution that analyzes different kinds of text. Lexalytics works on NLP to process texts (breaking them into sentences to evaluate elements like semantics and syntax) and then runs sentiment analysis to gauge the feelings and emotions behind customers' words. In addition to sentiment analysis, the tool performs categorization, theme extraction, and intention detection. This makes it easier for users to see the expanded context, and understand the relative advantages and disadvantages for their business.

Meltwater: It allows users to uncover insights about their target audience and also offers an overview of how people are talking about the brand. By analyzing the tone of the overall commentary, Meltwater indicates the reputation of the brand, according to the people. By using this analysis, brands can then create a strategy depending on whether they need to encourage more positive feedback or deal with a negative wave of attention.

Rapidminer: It leverages machine learning predictive model deployment to help brands conduct sentiment analysis. With Rapidminer, unstructured content sources, such as online reviews and social media posts, are analyzed, along with structured sources such as official publications and documents. This aids businesses to identify areas for growth and gather feedback from product launches. According to the company themselves, their services are spread across all sorts of industries, retail, eCommerce, automotive, financial services, manufacturing, travel, or logistics.

Repustate:  It offers an online tool for sentiment analysis that provides insights into 23 different languages. This software can even assess the sentiment behind slang, such as FYI, NGL, TBH, and also emojis, to determine if the sentiment behind a message is negative or positive. Repustate even offers a free trial for users to see if it suits their needs. Plus, one can customize the API, so it identifies a specific language, and recognizes the alternative meanings of words, which gives brands much control over how their sentiment analysis tool scans the reviewed texts.

Rosette:  It was first used to perform sentiment analysis on social media, but eventually branched out to analyze entire documents and individual entities mentioned in the text, for example, the sentiment expressed by customers when they mention a specific product, company, or person. It employs AI to conduct morphological analysis, which identifies part of speech. Also, it features lemmatization, which groups inflected forms of a word so they can be data mined as a single concept. Since it can review text-based data in over 30 different languages, it is perfect tool for international businesses.

Talkwalker: This sentiment analysis tool claims to have the best available sentiment analysis technology, which enables it to detect sarcasm and other unobvious forms of negative mentions. It also monitors industry and customer satisfaction trends, the latter enabling enterprises to discover which features of products are liked more easily (and which are not). Its Quick Search feature looks at brand mentions, comments, engagements, and other data to provide businesses with an extensive breakdown of how customers are responding to their brand's social media activity.