Yahoo News Article Rating

NEUBERGER BERMAN MLP AND ENERGY INCOME FUND ANNOUNCES MONTHLY DISTRIBUTION

Oct 01, 2022 View Original Article
  • Bias Rating

    -10% Center

  • Reliability

    N/AN/A

  • Policy Leaning

    10% Center

  • Politician Portrayal

    N/A

Bias Score Analysis

The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.

Sentiments

Overall Sentiment

N/A

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  •   Conservative
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Bias Meter

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-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

52% : The Fund currently intends to pay its regular monthly distributions out of its distributable cash flow, which generally consists of (1) cash and paid-in-kind distributions from master limited partnerships ("MLPs") or their affiliates, dividends from common stocks, interest from debt instruments and income from other investments held by the Fund less (2) current or accrued operating expenses, including leverage costs, if any, and taxes on its taxable income.
50% : The Fund is subject to federal income tax on its taxable income, unlike most investment companies.
44% : Such risks and uncertainties include, without limitation, the adverse effect from a decline in the securities markets or a decline in the Fund's performance, a general downturn in the economy, competition from other closed end investment companies, changes in government policy or regulation, inability of the Fund's investment adviser to attract or retain key employees, inability of the Fund to implement its investment strategy, inability of the Fund to manage rapid expansion and unforeseen costs and other effects related to legal proceedings or investigations of governmental and self-regulatory organizations.

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.

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