Identify The Sentiment Behind Any   Text Review Suggestion Opinion Post Query

Our sentiment analysis tool helps you gather text data from multiple sources and analyze the opinions of users.

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What is Sentiment Analysis?

Sentiment analysis is the process of examining and categorizing pieces of text in positive, negative, or neutral categories.It can also help you analyze and interpret the mindsets, opinions, emotions, etc and weigh the sentiments expressed in the text.

It can help data analysts analyze public sentiments,conduct market research, gauge brand reputation,and evaluate user experiences.

BytesView sentiment analyzer is an effective tool that can help you evaluate the sentiments of users by analyzing complex structured and unstructured text data.

With our sentiment analysis tool you can gather text data from multiple sources (reviews, suggestions, opinions, social posts, opinions, support queries) and transform it into actionable insights to help make data-driven decisions.

Sentiment Analysis Demo

Result

Positive
Neutral
Negative

Result

Accuracy

Topic Label

Result

News

Feedback

Promotion

Query

Spam

Result

Relatedness

Result

Angry

Fear

Happy

Sad

Love

Neutral

Result

Result

Result

BytesView Sentiment Analysis Technical Specifications

Technical Specification of sentiment Analysis
Deployment Availability
BytesView Server
BytesView Cloud
Amazon Web Server
Plugins
Google Spreadsheet
Zendesk(Coming Soon)
Bindings
Curl,
Python,
Php,
Java,
Curl,
R,
Ruby,
C#,
Node.JS
Supported Languages
English,
Spanish,
Arabic,
French,
Persian,
Japanese,
(Add Support for more than 30 language)
Industries
Specific Sentiment Analysis Solution Developed For
Customization
Customized solution as per your need

How can your business benefit from a sentiment analysis tool?

Manage your brand reputation

Learn about the motivations behind your customers' purchasing decisions and the intent behind their queries with a sentiment analyzer.

Use our sentiment analysis tool to increase the lifetime value of your customers and improve your brand health.

Brand Reputation
Social media conversations

Analyze social media conversations

Nowadays, a single tweet can completely change how the rest of the world perceives your brand. Correct the course of any negative publicity in time to avoid customer losses

Use our sentiment analysis tool to analyse conversations about your brand and resolve any issues before it grows.

Increase employee productivity

Analyze large amounts of employee feedback data to determine employee satisfaction levels and transform the information into actionable insights and align it with your business goals.

Use our sentiment analysis tool to learn about your employees' emotions and reduce employee churn.

Increase employee productivity
Increase customer satisfaction

Increase customer satisfaction

Your brand is being discussed by your customers right now, and Knowing how your customers feel about your company is critical to providing excellent customer service.

Use our sentiment analysis tool to extract value and insights from customer feedback data and develop effective strategies to improve customer satisfaction.

How to access BytesView Sentiment Analysis tool ?

Given below are the steps to access the BytesView sentiment analytics API. You can either gather the data by yourself in an excel/CSV format or ask us to do so.

  • Gather text data from multiple sources such as social media, news, online review websites, customer support tools, etc.
  • Compile the gathered text data in an Excel/CSV file or Google spreadsheet.
  • Install the BytesView plugins on Google spreadsheet and open the add-ons tab to locate it.
  • Create a demo account or Purchase a subscription plan that suits your requirements and get an API key.
  • Paste the given API key on the BytesView plugin to activate it
  • Select the cells you want to analyze and the machine learning model you want to use. Click run to start analyzing your data.
  • For more information on sentiment analysis models, go through the video.
access sentiment analysis

Now build and train custom sentiment analysis models as per your need

build custom sentiment analysis

Now train custom sentiment analysis models with data related to your organization to further increase accuracy of the output.

  • Collect the data you want to analyze and export them as a CSV or Excel file. Use a web scraping tool or let us do it for you.
  • Go on the BytesView dashboard and click on “create a model” and chose between a classifier or an extraction model.
  • Click on classifier and then select sentiment analysis model.
  • Import your data and select which column you want to analyze if there is more than one.
  • Tag a few of the data units as Positive, Negative, or Neutral to train your model. The model will begin making its own conclusions after a few tags.
  • Name and Test your model to see how it is working.
  • Once your model is trained, you can upload the whole data set to get results.

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