Sentiment Analysis Services for Machine Learning

Gain a better understanding of the social sentiment around your business. Gain access to MarsCrowd’s in-house platform, complete with a global Crowd of resources and customizable annotation tools fit to your solution.

sentiment analysis

What is Sentiment Analysis?

Sentiment analysis, a natural language processing technique for machine learning, can reference polarity such as positive, negative, and neutral. It can also produce subjectivity scores measuring opinions and attitudes within a text. All of this can be utilized to understand your audience and their feelings about your business.

Why MarsCrowd?

A Crowd of

Trained Specialists

A Crowd of

Languages

A Crowd of

In-House Linguists

Sentiment Analysis in Action

When we work together on a project, you can expect a seamless process for delivery. Sentiment analysis projects are broken down into 5 general steps from the collection of data all the way to delivery. The process looks something like the model below:

Tokenization

Training of

classification model

Text Data Collection for Machine Learning Process

Text data collection

Design of

feature extractors

Performance evaluation & visualization

How Does Sentiment Analysis Work?

Training data is used to develop a machine learning algorithm by building a neural network pipeline for natural language processing tasks such as tokenization, stop word selection, lemmatization, stemming, part-of-speach (POS), and dependency parsing. By implementing algorithms and approaches such as Naïve Bayes, SVM, and CNN using specialized vectors that calculate algorithms to get a tf-idf matrix for sentiment analysis. Next, it uses powerful processors and discrete graphics cards to start the training process to detect the given text’s sentiment.
In the end, the model you train and feed data into is able to produce actionable insights about the sentiment regarding your product or service. The nature of this information can be used to take your business to the next level by being able to respond to your audience in near-real time. The choice is yours on whether or not you want to unlock somthing so potentially powerful.

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