Unfiltered

Existing search technology has limited the user to a small string of text. This small input parameter creates real challenges when trying to decide what the user is really looking for. The large size & rapid growth of the web along with the complex diversity of the subject matter demands a new approach to data retrieval. For example: how does one search for results for business or finance that are related to politics or education? How do we find results for science and religion and see the relationships of the two in the data?

The massive complexity of trying to figure out what someone is searching for based off a text string requires a number of assumptions to be made to limit finite state. Without these assumptions the search would return such a large amount of data it would be useless to the user. This problem requires a new approach to solve.

This solution allows the user much greater control over the search. Instead of a text box the user can now search against any number of the following data points: Geo Location, Tone, Positive Score, Negative Score, Word Count, Created On, Organization, Title, Polarity, Source, Active Reference Density, Self-Group Reference Density, Themes, Lexicons and Dates. Many of these data points also have where in the result the theme, location, date, etc was found. This allows the user to search for data where X person was at Y location and this information is contained in the first 100 words of the story. This ability to quickly and easily refine searches now changes the domain of control of the information. You can easily stay on top of data feeds that you setup and refine. These feeds can be saved and shared with other users in the Unfiltered.me ecosphere.

This processing the metadata for each URL how allows the ability to search for financial stories that have a political lexicon of less than 10 percent, or look for results where a business theme is found in the first 100 words that has a financial lexicon that is greater than 15 percent. Results for a medical lexicon that has a business theme off-set of greater than 500 can easily be identified and the search saved as an individual search or grouped with others.

Businesses can now easily target & monitor the financial events of prospective organizations. Political events, terror and pandemics can be shown on maps. Searches that relate science and religion can be created and monitored.

All of this is possible because the power of computing continues to grow. This rapid growth of processing speed, coupled with the decrease in storage costs allows a number of Artificial Intelligence algorithms to process each URL. This data is made available to the end user to search against.

This allows for more and more of the process of refining the search be completed by the user and not by assumptions of the provider. Unfiltered.me will grow with this curve. As more and more data parsing algorithms are made available they will be rolled into the available filters.

One of the very powerful tools Unfiltered.me brings to the forefront is the ability to search for stories that positive emotional scores. The existing news cycle is full of fear and negativity. However, there is a lot of wonderful and beautiful things happening all over the world right now. Existing search engines do not allow for the retrieval of data based off its positivity. Unfiltered.me has solved this. You can simply search for all the positive stories happening in your region, country, state or radius.

The finite state has been deliberately left vast. Unfiltered.me wants you to dig into the data that surrounds us and create your own narrative. Search for what is going on in the business world regarding the price of health care, or terrorist events in London, or find positive things going on in your community, search for results where governments are making investments in science, find where religious institutions are assisting education institutions.