NLP

Analyze The Sentiment Behind Customer Reviews With SmartReader

Sentiment Analysis, in the simplest words, is determining whether a piece of text is positive, negative, or neutral. The system combines natural language processing and machine learning techniques to identify and extract opinions within the text. Presently, sentiment analysis has many practical applications. Companies are constantly trying to analyze their brand presence in the market   →

Introducing ParallelDots Google Sheet add-on 2.0

Since the launch of our Google Sheet add-on back in 2018, so many users have appreciated how our plugin has made it so much easier for them to analyze their open-ended textual data within the comfort of their spreadsheets. The primary reason for developing the Plugins was to help non-developers run text analysis on a   →

Extracting Keywords From Text in Excel Without Coding

Keyword Extractor API extracts keywords out of textual data. It generates an extensive list of relevant keywords and phrases to make research more context focussed. Keyword Extractor API can help in automating text summarization and enhancing SEO and building a keyword cloud. It is a powerful tool in text analysis that can be used to   →

How to Do Sentiment Analysis in Excel Without Writing Code?

ParallelDots Excel Add-in provides state-of-the-art text analysis capabilities from the comforts of your spreadsheets without writing a single line of code. The add-in has been received very well by our users working across different industry verticals like Market Research, Software, Consumer Goods, Education, etc. solving a variety of use-cases. Sentiment Analysis has been the most   →

Launching Our Super Affordable Student License

At ParallelDots, we pay special attention to the customers’ feedback to build features that work best for them. Recently we’ve been getting a number of package concession requests from students on our Text Analysis APIs pricing. Initially, we did provide some relaxation on our pricings but realized soon enough that the best solution would be   →

50 Must-Read Free Books For Every Data Scientist in 2020

Data science is an inter-disciplinary field which contains methods and techniques from fields like statistics, machine learning, Bayesian etc. They all aim to generate specific insights from the data. In this article, we are listing down some excellent data science books which cover the wide variety of topics under Data Science. 1. The Element of Data   →

How To Choose An NLP Vendor For Your Organization

“The thinking in AI has changed from ‘What’s possible?’ to ‘How do I do this?’” explains Rafiq Ajani at McKinsey educational AI forum. Natural Language Processing (NLP), an important subfield of AI that deals with how to program computers to process and analyze large amounts of natural language data, similarly is no longer a “nice to have”,   →

Multilingual Named Entity Recognition: Research to Reality

Named Entity Recognition (NER) is a particularly interesting branch of Natural Language Processing (NLP) and a subpart of Information Retrieval (IR). A NER model is trained to extract and classify certain occurrences in a piece of text into pre-defined categories. What are these categories? glad you asked. The categories can be thought of as the   →

Are you unlocking the full potential of your NPS analysis?

How do you measure your customers’ happiness? What’s the first metric that pops into your mind? If your answer was Net Promoter Score (or NPS), congratulations! You are among 80 percent of people who know how to gauge customer satisfaction. As most marketers have come to realize, though, NPS is only the first half of   →

Acquiring Labeled Data to Train Your Models at Low Costs

An untrained statistical model is like a Ferrari that simply will not run. In other words, it is simply not of much use. Supervised Learning is based on the availability of high quality labeled data. Labeled data is the ingredient that will make your Ferrari ( statistical model) roar. To put it in technical terms,   →

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