Although there are many different types of data analysis, portfolio analysis is one of the most important ones for investors. It can help you take a look at all of your investments in one place and make sure that they’re meeting your goals.

This type of analysis will also show you what kinds of investments have done well so far, which is great if you want to keep buying more shares in those companies or even start investing in them yourself.

1. NetBase Quid

  • NetBase Quid is a text analytics platform that provides real-time insights into consumer opinions, behaviors, and motivations.
  • It is a cloud-based platform that is easy to use and provides a variety of tools for text analytics.
  • There is no extra cost for using the NetBase service but you will have to pay if you want them to host your data or if you want access to more features than what’s offered in the free package.

2. MeaningCloud

MeaningCloud is an AI-powered text analytics platform that can be accessed from anywhere. It works with any language, so it’s perfect if you work with multiple languages or want to analyze content written in different languages.

This tool offers sentiment analysis, topic extraction, and text classification capabilities which make it a powerful solution for businesses wanting to get the most out of their data.

3. Infegy

Infegy is a SaaS platform that delivers social media analytics for brands and agencies. It provides you with insights about your audience, what they are saying about you, and how to get them talking more about your brand.

Infegy also allows you to set up alerts so when someone mentions your brand or specific keywords on social media platforms like Facebook, Instagram, Twitter, YouTube, and Reddit; it will send an email alerting you of the mention so that you can respond accordingly.

With this tool, you can also track customer service issues across multiple channels, including phone calls and email,s as well as analyze conversion rates for each channel used by customers.

4. Yseop

Yseop is a natural language processing tool that lets you analyze text. You can use it to find the most important words in your text and figure out the key concepts that are used in it.

It also gives you an overview of how well-written your text is by showing how often certain words appear together.

Yseop gives you some degree of control over what it will analyze and how it will do so, but there are some limitations as well: for example if you’re analyzing social media posts on Twitter or Instagram (which Yseop does).

You have to provide specific hashtags for the platform before Yseop starts analyzing them for key concepts and word frequencies, something that can be difficult to do manually from within the tools themselves.

5. IBM Watson

IBM Watson is a cognitive computing platform that provides text and social media analytics. It’s used by many companies and organizations, including the United States government.

Watson is cloud-based, which means it can be accessed anywhere you have an internet connection no need to install anything on your computer or phone.

Watson can be integrated into multiple apps like Slack and Salesforce, allowing users to get real-time information about their company at any time.

This makes IBM Watson useful for data analytics in addition to portfolio analysis because it works quickly and efficiently while still providing accurate results

6. Linguamatics

Linguamatics is a leading provider of data science solutions for the financial services industry.

Linguamatics offers a portfolio of products and services, including data science and analytics, financial data, and a language technology platform.

The company’s mission is to provide innovators with artificial intelligence (AI) technology that will enhance customer engagement while reducing costs in the financial services industry.

7. MindNet Natural Language Interface (NLI)

NLI is a natural language processing tool. It can be used to analyze data, such as financial news and text, in a number of ways.

It provides analytics on sentiment analysis (how positive/negative is the content?) along with highlighting key themes and identifying important topics within your data set.

The system also allows you to interact with it via text-based commands or chatbots, which makes it easy for users who are not familiar with coding or programming language tools.

8. Microsoft Cognitive Services

Microsoft Cognitive Services is a suite of AI-based APIs that help you build intelligent applications. It uses artificial intelligence to analyze, predict and interpret behaviors and relationships between entities in any system. The Microsoft Cognitive Services include:

  • Bing Speech API
  • Content Moderator API
  • Custom Vision Service
  • Face APIs
  • LUIS (Language Understanding Intelligent Service)

Microsoft Cognitive Services also includes a variety of prebuilt models for image classification, face detection, facial recognition, emotion detection, and more that you can use with minimal effort.

9. Thematic

Thematic is a powerful tool for text analytics. It is a cloud-based solution that lets you analyze large volumes of unstructured data. Thematic’s flexibility makes it ideal for organizations that need to analyze millions of documents, web pages, and emails.

Thematic has been used by Fortune 500 companies and government agencies to find useful information in their business intelligence reports or internal documents.

The software can also be used to perform sentiment analysis on social media sites like Twitter and Reddit or to extract useful keywords from job descriptions on Indeed or LinkedIn.

10. Textalytics Semantic API

Textalytics Semantic API is a natural language processing API that is used to extract meaning from text.

Using Textalytics Semantic API, you can classify documents into categories based on their content. The API can be used for text classification and entity extraction, which means it can identify entities such as people, places, and organizations in any piece of text.

Since the API uses a combination of machine learning algorithms (such as topic modeling), it’s able to analyze large volumes of unstructured data without needing any training data beforehand.

11. Semantria for Excel by Lexalytics

Semantria for Excel is a tool that allows you to analyze the semantics of texts across various industries. This can be used for your own projects, or it can be used in conjunction with other tools such as Semantria Text Analytics Platform.

Semantria for Excel uses ML algorithms to extract key concepts and find relationships between terms, phrases, sentences, and paragraphs within a text document.

You can use this information as part of your analytics process whether you’re trying to understand customer sentiments or how well certain keywords are performing on social media platforms like Twitter or Facebook.

Semantria’s platform makes it easy to analyze complex client data sets because it doesn’t require any coding knowledge from users who want access through Excel templates; the only thing you’ll need is a basic familiarity with Microsoft Office 365 applications like Word/Excel etcetera.

12. AlchemyAPI

AlchemyAPI is a text analytics company that offers a variety of tools and services. It’s one of the most popular APIs available today.

With over 250 developers using its services to analyze natural language data from various sources like websites, emails, phone calls, and social media posts.

The company launched in 2010 after receiving funding from Google Ventures’ startup incubator program. AlchemyAPI currently offers three main products:

  • AlchemyVision (visual intelligence) – this tool allows developers to analyze images using computer vision algorithms; for example, you could use it to determine whether pictures contain specific objects or people by searching for specific keywords within them
  • AlchemyAPI Sentiment Analysis API (sentiment analysis) – this tool analyzes text based on how positive or negative it is in tone
  • AlchemyAPI Language Detection API (language detection) – this service determines what language an article has been written in.

13. TEMIS Luxid Platform

TEMIS Luxid is a cloud-based text analytics platform that allows clients to find insights in their content by using the following features:

  • A library of more than 100 pre-built models, which can be used out of the box or customized to meet specific needs.
  • An interface that allows users to easily choose and combine different data sources, including emails, websites, social media posts, and more.
  • A variety of tools for analyzing text based on criteria such as sentiment analysis (determining whether a piece of writing has a positive or negative tone) or topic classification (identifying types of things mentioned in a piece).

14. Converseon ConveyAPI and Related Services

Converseon ConveyAPI is a cloud-based platform that provides developers with a way to analyze text from a variety of sources. ConveyAPI can be used to analyze text from social media, news, blogs, and chat as well as other types of documents.

Converseon offers several different methods for integrating its tools into your website or application:

  • The first option is simply accessing the data through an API key. This requires you to build your own crawler that pulls information directly from their servers in order to get content analyzed by their algorithms.
  • The second option is using one of their pre-built applications such as their Twitter Sentiment Analysis Tool or Blog Analysis Tool which are available for free but require registration before use.

You don’t have access to the raw data behind these applications unless you use their paid versions;

However, they do provide some pretty cool visualizations with little effort on your part if you just want quick results without having much technical knowledge at all.

What is portfolio analysis in marketing

Portfolio analysis is the process of analyzing a variety of different marketing campaigns in order to compare them and determine which are the most effective.

\The goal of such an analysis is to improve and deliver more efficient, effective advertising within a company’s budget.

It is a useful tool for companies that have invested in multiple advertising channels in order to determine which ones are providing the best results for the company’s investment and then focus on these channels in their future marketing initiatives.

Meaning of portfolio analysis

Portfolio analysis is a method of determining the risk level of your investment portfolio. It involves comparing the returns and risks of investments with each other, and against a benchmark, in order to determine if they’re contributing to or detracting from the overall portfolio’s growth.

Since the primary purpose of investing is to grow your money over time, it’s important to know what kind of return you can expect and how volatile that return might be.

The greater the risk, the greater the potential reward but also the greater the possibility of unexpected losses that might not be covered by your contingency plan.


What is the portfolio analysis tool?

The portfolio analysis tool is a framework for analyzing equity portfolios. It is used to determine the proper allocation between stocks, bonds, and cash to achieve an investor’s goals and risk tolerance.

The tool was developed in 1970 by Harry Markowitz, who subsequently won a Nobel prize for his work in portfolio theory. The Portfolio Analysis Tool (PAT) was originally developed by Dimensional Fund Advisors.

Dimensional Fund Advisors created the PAT to help investors create portfolios that are properly diversified and constructed to meet their investment goals and risk tolerance.

What is the name of JP Morgan’s portfolio analytics tool?

JP Morgan created a tool called Enhanced Analytics for Portfolio Construction (EAPC), which was designed to help their analysts build and monitor portfolio allocations.

The goal was to create a tool that would make it easier for them to monitor the performance of their existing portfolio, as well as changes in asset allocation.

The system is based on the idea of “what if” questions, where an analyst can enter hypothetical scenarios and see how they would impact their portfolio as a whole.

How do I create a portfolio tracker in Excel?

There are two different ways to create a portfolio tracker: manually, by entering each of your transactions into a spreadsheet, or automatically, by linking a brokerage account to Excel.

The latter option uses computer software that is already built into your brokerage account (i.e., TradingView) to retrieve the pricing data and insert it into the spreadsheet automatically.

How do you check my portfolio is good or not?

There are many ways to check if your portfolio is good or not. Here are some of them:

1. Have a look at the company’s profile on sites like Glassdoor and Indeed. These sites will give you more information about the company.

2. Look at the company’s website, especially information about its culture, its product, etc.

3. Read reviews on company websites like these ones:

–          Glassdoor

–          Indeed

4. Go to the company’s social media profiles and see what people have to say about it there. You can also see if the company has a blog where they post useful information for those who are interested in getting a job in that specific company.

What are the three types of portfolio management?

The most common types of portfolio management are tactical, strategic, and passive. Tactical management is all about reacting to the stock market itself by looking at individual holdings and making changes in response to their fluctuations in the market.

This is a good way to make use of some investment opportunities and can help you get rid of some losers that you’ve accumulated over time.

Tactical management can be very hands-on, or it may be limited to following rules that you set up in advance and then leave alone until they need updating.

Strategic management is more about determining how much risk you’re willing to take on based on your goals for your money and then using that information to determine which investments are right for you.

Passive management relies less on specific decisions about what to do with your investments and more on finding an investment strategy that will provide the returns you expect while allowing you to avoid worrying about your portfolio.

Passive management is great if you don’t want any surprises or if you’re just starting out with investing—it’s less work than actively managing your portfolio because you’re relying on someone else’s expertise instead of your own.

What are the six steps to effective portfolio management?

There are six steps to effective portfolio management. These steps help investors to be able to invest according to their investment plan and to be able to monitor the progress of their investments. These six steps are:

1.) Setting objectives

2.) Determining risk tolerance

3.) Choosing an asset allocation strategy

4.) Conducting a regular risk assessment

5.) Planning for major life events

6.) Monitoring results


These are great tools for text and social media analytics. They provide you with the ability to analyze sentiment, trends, campaign impact, and competitor activity. You can also use these tools to get insights into customer feedback.

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