Text analytics use cases

What is text analysis?

Text analysis is the operation by which information is a­utomatically uprooted and classified from text data. Within the field of Experience Management text could hold the form of check responses, emails, support tickets, call centre notes, product reviews, social media posts, and various feedback given in free text, as opposed to a multiple- choice format. Text analytics enables businesses to discover perceptivity from within this unshaped data format.

How FutureAnalytica uses Text Analysis to boost your business

With FutureAnalytica NLP technology breakdowns all types of documents, no matter how big their size. With NLP and AI, a complete assay can be done in just seconds or twinkles. Also, NLP can gauge up or down as per your requirements and computational power. NLP can induce at any scale and any given point during the day or night. For manual text analysis, you would need a batch of staff working around the timepiece. But with Artificial Intelligence text analysis, you can keep the crew to a minimum. An automated Natural Language Processing that operates in real — time works best for client feedback. You’ll get to know about the problems your clients are looking with a product or a service incontinently. This ensures that no processes are repeated and all the procedures are streamlined.

The significance of text analysis

Text analysis has come an important part of numerous business intelligence processes, particularly as part of experience operation programs as they look for ways to ameliorate their client, product, brand, and hand experiences.

Before text analysis, utmost businesses would need to calculate on quantitative check data in order to find areas where they can ameliorate the experience.

Still, while still critical to any program, quantitative data has its limitations in that it’s confined to a destined set of answers. These options are limited and hence circumscribe the analysis that one can do for the scores. For illustration, if the client’s reason isn’t listed in those options, also precious sapience won’t be captured.

It would be nearly insolvable to list every possible reason in a client check, so containing open text feedback helps to dig deeper into the experience. This is where text analysis is pivotal to identify the unknown unknowns — the themes the business doesn’t experience about but could be driving dissatisfaction with clients.

Use Cases of Text Mining.

1. Social Media Listening

Apart from being a midpoint of staying connected, social media has also come a platform for branding and marketing. Clients talk about their favorite brands and partake their times each across social media. Using sentiment analysis of the data accessible on social media with the help of text analytics tools helps to conclude the positive or negative sentiments of users towards products services and the impact and relations of brands with its clients. Likewise, social media listening can enable brands to make trust with clients.

2. Deals & Marketing

Prospecting is an agony for a sales crew. Sales crews make every effort to ameliorate deals and performance. 27 of deals agents spend further than an hour a day on data entry work rather of selling; signifying critical time is lost in executive work and not closing deals.

Text analytics approaches help reduce this slavish work with Robotization while furnishing precious and specific perceptivity to nurture the marketing channel.

3. Brand Monitoring

Businesses fight tooth and nail to show and ingrain supremacy. Presently, professionals are paid to give false or hype reviews across the internet and social media. Also, occasionally clients frequently write angry reviews in the spur of a moment. Similar reviews frequently spread across the internet like wildfire and do unmitigated detriment to a company’s brand image.

Negative reviews frequently drive down clients. Studies show, 40 of consumers are put off from buying a product/ service if there’s a negative review.

Visual web scrapers and web scraping fabrics in text analytics enable brand monitoring, comprehending one’s brand elaboration, and setting aspects affecting one’s brand in real- time, therefore, enabling businesses to take necessary action incontinently.

4. Client Service

Businesses constantly endeavor to grease flawless client service. Important of the client churn factors do due to client service excrescencies. With text analytics tools, you can scrape together client enterprises queries and feedback to streamline client service processes. Away from perfecting responsiveness, this can also help automatically route tickets to reduce homemade work and crimes. To give an illustration the algorithm draws a point ‘My order is not delivered yet’ out of client queries — this will be compared and matched with a Delivery Issues label automatically with the backing of text analytics tools.

Also, textbook analytics tools will also help establish substantiated client services, employ the right person for the job, and set precedence’s efficiently.

5. Product Analytics

Text analytics not just helps in understanding client requirements, but also helps in perfecting the product. Assaying client reviews gives a clear picture of what exactly the client is looking for vis- à- vis a product and what they suppose about the contender’s product. It enables businesses and brands to make quality products that meet client conditions.

6. Knowledge Management

We suffer from an overflow of data today. Processing this behemoth data to draw practicable perceptivity in lower time is hardly possible without sophisticated technology advancements. This puts time-sensitive professions like healthcare in dire woe. Still, text mining or text analytics ways can help sort through supernumerary data in a short time and give precious perceptivity for real- time results and effectiveness.

We hope you enjoyed our blog and understand the concept of text mining and its uses. For any question related to text mining, Predictive analytics, Sentiment Analysis please mail us at info@futureanalytica.com .