Summary: Using a text sentiment analysis tool, you can find out which competitor is receiving positive mentions and also learn about your audience through social mentions. Thus, by analyzing their tone or language, you can also incorporate the same in your marketing strategy to improve your brand image.
Maintaining a good brand reputation is important for the success of your organization. A positive brand reputation can help you close more sales, build customer loyalty, and improve customer experience. Therefore, to maintain your brand image, it is essential you closely monitor your brand image on different social media platforms, review websites, etc.
For that purpose, you can use a sentiment analysis tool. This tool can help you understand what your customers are saying about your brand, competitors, and industry.
Sentiment analysis tools analyze emails, reviews, chat transcripts, mentions, and comments to identify the sentiments expressed by your customers about your product, service, and brand. Once analyzed, it will determine whether the tone or sentiment is positive, negative, or neutral.
This information can be used to improve your marketing campaigns and boost sales. Let’s learn more about sentiment analysis tools in detail below.
Using sentiment analysis software can help your organizations in multiple ways, such as:
With the free sentiment analysis tools, it has become much easier for organizations to detect the negative, positive, and neutral sentiments in customer reviews, comments, public mentions, etc. Here are some of the best sentiment analysis tools you can use for this purpose:
Social Searcher is a free social media search engine that helps identify and monitor public mentions across the web and social media platforms like Instagram and Twitter.
With features like sentiment analysis and social analysis, you can easily track what your audience is saying about your brand, product, and service across various platforms.
Features of Social Searcher
Pros and Cons of Social Searcher
Free Trial: 14 days
Social Searcher Pricing: Free plan available | Paid plan starts from INR 316.67/month
Brandwatch enables you to monitor online mentions about your brand and understand your customer voice. With this sentiment analyzer, you can anticipate the consumer demand, monitor your brand, generate engaging content, and improve customer engagement.
This sentiment analysis tool can also help you in identifying social media trends, collaborating in real-time to create content, monitoring threats across platforms, etc. Further, you can also manage all social media platforms with its social media management functionality.
Features of Brandwatch
Pros and Cons of Brandwatch
Free Trial: Not available
Pricing of Brandwatch: Price is available on request on its official website
Rosette AI driven sentiment analyzer can help in identifying and analysing sentiments in different text types related to companies, customers, and products. It uses machine learning models to identify positive, negative, and neutral sentiments in any document types.
With Rosette, you can categorise your content, identify the topic of customer service queries, define the relationship between two data entities, filter out spam emails, etc.
Features of Rosette
Pros and Cons of Rosette
Free Trial: 30 days
Rosette Pricing: No free plan available | Paid plan starts from INR 8,186.25/month
Talkwalker is a consumer intelligence acceleration platform that lets you gain actionable insights through real-time customer data analysis.
This sentiment analysis tool looks at all mentions and comments about your brand on different social media platforms to understand how your audience perceives your brand. It can also be used for social listening, social media monitoring, customer feedback analysis, and report generation.
Talkwalker Features
Pros and Cons of Talkwalker
Free Trial: Available
Pricing of Talkwalker: Free plan available | Paid plan details are available on request
MonkeyLearn machine learning platform helps users with text analysis. With this software, you can detect the sentiments expressed in different text types like tweets, chats, articles, reviews, and so on.
MonkeyLearn creates automated Classifiers to classify and categorise your text for different data types. Further, you can create Extractors to identify different data like keywords, company names, emails, etc., in your text.
MonkeyLearn Features
Pros and Cons of MonkeyLearn
Free Trial: 14 days
MonkeyLearn Pricing: Free plan available | Paid plan starts from INR 24,433.53/month
Idiomatic’s AI-driven sentiment analysis software is used to analyse and identify customers’ sentiments towards your brand in millions of reviews quickly.
With it, you can track customer sentiment through a specific channel and customer segment over time. Therefore, providing you with insights to turn customers’ negative sentiments into positive ones.
Further, this text sentiment analysis can also help you in visualizing sentiments trends, viewing sentiments based on keywords, and building customized reports.
Features of Idiomatic
Pros and Cons of Idiomatic
Free Trial: Available
Idiomatic Pricing: Free plan available | Paid plan starts from INR 81,749.00/month
Awario is a brand monitoring tool that helps you in analyzing all your brand mentions across different social media, review sites, forums, blogs sites, etc. It tracks the most relevant mentions to understand the audience and improve the marketing strategy.
Some common features of this sentiment analyzer include location-based monitoring, social listening reports, marketing campaigns tracking, real-time sentiments changes tracking, etc.
Awario Features
Pros and Cons of Awario
Free Trial: Available
Pricing of Awario: No free plan available | Paid plan starts from INR 4,006.26/month
Hootsuite Insights is a social listening tool that helps you gain insights into what people are saying about the brand, competitors, and industry.
Hootsuite Insights can be used for managing social media, publishing content online, managing campaigns, identifying social trends, analyzing brand sentiments against competitors, etc. Hootsuite Insights can also help you with competitive and industry benchmarking.
Features of Hootsuite Insights
Pros and Cons of Hootsuite
Free Trial: 30 days
Pricing of Hootsuite Insights: No free plan available | Paid plan starts from INR 1,915/month
Hubspot’s Service Hub provides a customer feedback tool that helps you in breaking down survey responses and analyzing them for positive and negative sentiments.
The software uses Net Promoter Score (NPS) to understand whether the customer review is in good or bad sentiments. With it, you can visualize customer data, review surveys of specific customers, analyze social media performance, manage ads campaigns, etc.
Features of Hubspot’s Service Hub
Pros and Cons of Hubspot
Free Trial: Available
Hubspot’s Service Hub Pricing: Free plan available | Paid plan starts from INR 36,809.78/month
MeaningCloud is a textual analysis tool that can be used for generating meaningful insights from large textual data sets. With its sentiment analysis API, you can easily perform sentiment analysis of texts from various sources like social media, reviews sites, etc.
You can use this software for creating your own data classification models, customizing sentiment analysis APIs, monitoring social media engagement, analyze press clippings, etc.
Features of MeaningCloud
Pros and Cons of MeaningCloud
Free Trial: Available
Pricing of MeaningCloud: Free plan available | Paid plan starts from INR 8,101.71/month
SentiSum analyzes customer conversations across multiple channels to gain actionable insights and improve customer experience. Some tasks that you can perform with this sentiment analysis software include automated ticket escalation, customer feedback collection, CSAT surveys analysis, customer data integration, etc.
Features of SentiSum
Pros and Cons of SentiSum
Free Trial: Available
Pricing of SentiSum: No free plan available | Paid plan starts from INR 1,63,723.00/month
Sentiment analysis utilizes ML models for performing text analysis. The metrics used in the analysis help identify whether sentiments expressed in any text are positive, negative or neutral. This is how sentiment analysis work:
Step 1: The sentiment analyzer identifies specific keywords to highlight the main meaning behind the content.
Step 2: Next, it breaks down the content into multiple components or tokens
Step 3: In the next step, the tool removes words that do not add value to the required sentence.
Step 4: With natural language processing (NPL) and machine learning algorithms, the keywords are analyzed, and a sentiment score is provided.
Step 5: The score is used to get a relative perception of the sentiment expressed in the content for further analysis.
Conclusion
Sentiment analysis tool can be leveraged to perform multiple tasks. From monitoring social media, analyzing product reviews to performing competitor research, this tool can help you a lot in enhancing your brand image. Based on the detailed comparison of various tools, Social Searcher, Brandwatch, and MonkeyLearn are the best sentiment analysis tools that you can use for free.
A sentiment analysis tool is an AI software that analyzes the text data to identify positive, negative, and neutral sentiments in the content shared by your customers across different web channels.
Natural language processing is used in sentiment analysis to identify the tone or sentiments in any content related to a person, entity, product, etc.
There are three main methods used for sentiment analysis including Lexicon Based Approach, Hybrid Approach, and Machine Learning Approach. The best method to consider is Hybrid method where you can leverage both other methods for text analysis.
The three main sentiment analysis methods are Lexicon Based Method, Machine Learning Method, and Hybrid Method.
Sentiment analysis is a subset of Natural Language Processing (NLP). It is a kind of data mining technique that tries to understand and measures customers opinions and stances via NLP.
Sentiment analysis is used to analyze different types of text data which might include public mentions, comments, reviews, press releases, and so on.
The simplest sentiment analysis can be done using a scored word list. For example, you can create a list of words that are scored between +5 and –5. Next, you can split a given content into distinct words and compare them with the word list to get the final sentiment score.
The first step in sentiment analysis is to choose the type of content for which you want to perform the analysis. For example, you can choose from analyzing conversation threads, comments, or mentions.
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